Maastricht University, Netherlands invites online Application for number of Fully Funded PhD Degree at various Departments. We are providing a list of Fully Funded PhD Programs available at Maastricht University, Netherlands.
Eligible candidate may Apply as soon as possible.
(01) PhD Degree – Fully Funded
PhD position summary/title: PhD Candidate: Structural variation in cucumber genomes
Plant traits are defined by their genes, which can have different alleles encoding proteins with activities that determine the expression of a trait. In addition, genes have differences in promoters that are responsible for differences in gene expression. However, new long-read sequencing technologies and genome comparisons show that larger structural variations in the genome are also important for breeding traits. Some of these variants are gene copy number variations (CNVs) that influence a related trait.
This research will focus on the effect of structural variations in the cucumber genome on plant traits. Several examples of structural genomic variation in cucumber show that gene CNVs lead to differences in trait expression.
Deadline : 1 September 2024
(02) PhD Degree – Fully Funded
PhD position summary/title: PhD candidate for national Study on Bleeding Disorders of Unknown Cause (BDUC-iN)
Over half of individuals referred to a haemostasis expert for evaluation of their bleeding symptoms, receive a diagnosis of bleeding disorder of unknown cause (BDUC) when standard tests fail to identify a haemostatic disorder. These patients experience similar bleeding symptoms and risks as those with known coagulation disorders (like von Willebrands disease), affecting their quality of life. Lack of clear guidelines lead to uncertainties about follow-up, treatment and family planning in this patient group. In the BDUC-iN study we will evaluate healthcare, patient reported outcomes and quality of life (QoL) of BDUC patients and investigate the best diagnostic strategy and treatment options. Furthermore we will investigate the underlying mechanism of bleeding with innovative diagnostic tests, multi-omics and fundamental research. Main study endpoints are: results of questionnaires on healthcare, patient outcomes and patient experiences; number of persons diagnosed with a haemostatic defect detected with innovative laboratory tests; development of pathophysiological based treatment plans; identification of biomarkers and haemostatic modifiers of bleeding with a multi-omics (genetic, proteomics) approach; an artificial intelligence driven prediction model for bleeding and a cost-effective algorithm for bleeding evaluation. All BDUC patients registered or investigated in 6 Dutch Haemophilia Treatment Centres (HTCs) will be included.
We offer a position for a PhD Candidate for the prospective BDUC-iN study. In close collaboration with your supervisors and the current 2 PhD candidates (in their last 1-2 years), you will be responsible for the implementation of the study in the HTCs. This entails recruiting, including and follow up of participants, conducting measurements and collecting data, analysing data, and drafting scientific papers. In the meantime, you will analyse data from the retrospective BDUC-iN cohort. Additionally, you will be tasked with communicating and disseminating research findings to various audiences, including the BDUC-iN working group. Your work will involve publishing research results in esteemed international journals and presenting them at recognized international conferences. Furthermore, you will engage in collaboration with the international BDUC consortium. Participation in the comprehensivehaemostasis training program, clinical care and guidance of other students in their scientific internships (e.g. master medicine, biomedical science) is also expected. Ultimately, this position encompasses working towards a doctorate.
Deadline :9 Sep 2024
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(03) PhD Degree – Fully Funded
PhD position summary/title: PhD candidate on ‘Enhancing Legal Self-Representation’
The law affects us all, but technology is not equally available for everyone. In practice, technology often benefits the wealthy the most. As a result, individuals often assume self-representation roles in a potential or actual legal dispute. Individuals who struggle financially are at a significant disadvantage and more vulnerable to exploitation as they frequently contend with formidable entities characterized by size, financial affluence, and recurrent engagement in legal proceedings. This research uses qualitative research methods to develop AI that aims to enhance individuals’ knowledge and understanding of the law.
Your work is expected to have a tangible real-world impact. The ability to find innovative solutions to legal challenges could become a key skill of your future career, be it as a researcher, entrepreneur, or engineer.
You will undertake PhD research at the intersection of law and empirical research. Your primary task is conducting the research for your PhD project. A small proportion of the appointment may be devoted to teaching activities, which commonly amount to teaching activities in eight weeks per year.
You will be allowed to collaborate with researchers from different disciplines, including law, empirical research, and data science. You will be part of an exciting, vibrant, and quickly growing community where researchers from different disciplines meet and form interdisciplinary teams that conduct academically and societally relevant research. You will be encouraged, coached, and allowed to attend courses, conferences, and workshops that will add social and legal knowledge to your skill set. PhD researchers participate in the Maastricht University Graduate School of Law.
Deadline : 31 Aug 2024
(04) PhD Degree – Fully Funded
PhD position summary/title: PhD candidate in Multiomics and Artificial Intelligence for Early Diagnosis of Osteoarthritis
The department of Cell Biology-Inspired Tissue Engineering (cBITE) at the MERLN Institute for Technology-inspired Regenerative Medicine at Maastricht University in the Netherlands invites applications for a PhD position. We seek a motivated and talented PhD candidate to join our dynamic research team as part of the KIC CircBioCare project, which is dedicated to advancing early diagnosis methods for osteoarthritis (OA). This exciting project aims to develop innovative proteomic strategies to detect biomarkers associated with the onset of OA, leveraging advanced technologies and artificial intelligence.
Deadline : 04.09.2024
(05) PhD Degree – Fully Funded
PhD position summary/title: PhD in developing bone matrix-mimetic biomaterials for treating degenerative spinal disorders
Are you a visionary Master’s graduate driven by an unwavering passion for developing regenerative medicine technologies and a commitment to pushing the boundaries of knowledge in the field of biomimetic biomaterials and bone regeneration? We are currently seeking an exceptional PhD candidate to join our team on “Developing bone matrix-mimetic biomaterials for treating degenerative spinal disorders” in the Department of Complex Tissue Regeneration of the MERLN Institute for Technology-Inspired Regenerative Medicine at Maastricht University, and as part of the ‘BioFusion – Biomimetic spine fusion implants for back pain’ consortium.
Deadline :31 Aug 2024
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(06) PhD Degree – Fully Funded
PhD position summary/title: PhD candidate in Network Science
Are you a highly motivated researcher excited by interdisciplinary research on developing new methods to investigate how neural interactions in the neuromuscular system change across the lifespan and how these interactions are reorganized in movement disorders? Apply for a PhD position in the Data Analytics and Digitalization department at Maastricht University. You will work with an interdisciplinary team in collaboration with the Faculty of Psychology and Neuroscience, the Faculty of Health, Medicine and Life Sciences and the Maastricht University Medical Centre.
In the mobile brain-body imaging lab in Maastricht we study patterns of neural interactions between the brain and multiple muscles to investigate how neural coordination breaks down in movement disorders such as Cerebral Palsy and Parkinson’s disease. Movement disorders are a high priority theme within the Maastricht University Medical Centre with special focus on treatment with neuromodulation, e.g. deep brain stimulation. Complex networks are ideally suited to investigate the many-to-many coupling in the sensorimotor system and offer a mathematical and statistical framework to quantitatively assess these connectivity patterns.
You will develop specialized end-to-end models to reconstruct neuromuscular networks from empirical data and identify changes in neural interactions that can be attributed to motor impairments. Using advanced Bayesian models, we aim to identify connectome fingerprints that predict clinical motor symptoms and treatment responses. Conversely, active learning and adaptive sampling will be used to design experiments to optimally select the best experimental settings that maximize the information gain of our models.
Deadline : 21 Sep 2024
(07) PhD Degree – Fully Funded
PhD position summary/title: PhD candidate for clinical and translational research in dilated cardiomyopathy at CARIM
The Heart Failure Research team of Prof. Dr. Stephane Heymans within CARIM and the University Hospital of Maastricht (www.hfresearch.eu) is seeking a PhD candidate with a medical background. The candidate will analyze imaging, clinical data, biomarkers, genetics, and (RNA, protein, metabolic) omics to optimize outcome prediction and identify new therapeutic targets for genetic, inflammatory, and idiopathic cardiomyopathies within our local and international DCM registry (DCM Share, DCM Next, totaling over 11,000 DCM patients).
If you have expertise or interest in combining clinical, imaging, and data science for omics analysis, and are passionate about making a clinical impact through the development of new therapies, you are the ideal candidate. You will collaborate with European and US partners, as well as industry professionals, to advance new therapy development. You will join an enthusiastic and supportive research team engaged in preclinical, translational, and clinical research on non-ischemic cardiomyopathies.
Deadline :08.09.2024
(08) PhD Degree – Fully Funded
PhD position summary/title: PhD Candidate on “Machine learning assisted prediction of plastic recyclate quality”
About the position: Mechanical recycling of plastics, is the most efficient way to treat the plastic waste in a sustainable way. However, the quality of recyclates is usually compromised leading to products with inferior properties. Quality of reprocessed samples (recyclates) depend on many factors but also is application dependent. An effective recycling process benefits from products with low variability in properties such as rheological and mechanical characteristics. To achieve this, several tests are required and a sorting and re-cycling line needs to be optimized to predict the quality of the output. The predictions should be carried out in a scientifically and economically viable method to assure applicability in industry.
This project applies the state-of-the art machine learning models combined with plethora of experiments to generate data for training the model. The significance of this project is governed by the dependency of the plastic industry on the recyclates with consistent and high quality. The quality estimation is a topic which our quality model can address. How-ever, predictions require a step backward and to impute the data gaps to assure inline sorting and separation is feasible with high accuracy and high rates.
The result of this project, can support the end users of the recyclates as well as the producers of the regrinds to position their products in the right market.
This PhD topic is meant to go deep into the polymer science and machine learning and therefore is highly interdisciplinary. Thus, the candidates with background in polymer science and engineering and machine learning are encouraged to apply. This position provides the candidate with necessary experience to flourish in the upcoming fields of circularity with a flavor of data science, engineering and polymer science.
Deadline : 10.09.2024
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(09) PhD Degree – Fully Funded
PhD position summary/title: PhD candidate | improving mycelium material properties by crosslinking
This project is part of the FWO-SBO project MycoMatters (developing next-generation sustainable mycelium-based materials). The consortium partners in the MycoMatters project are Free University Brussels (VUB), Antwerp University, Ghent University and Maastricht University.
Driven by the urgently needed shift towards a more sustainable economy, there is a rising interest in mycelium materials, of which vegetative fungal biomass is a main component. Recently, focus is placed on materials with leather- and textile-like appearance for applications in fashion, apparel, interior design and automotive sectors. Despite the great promise and global investments, there are still challenges pertaining to the development of a material that meets performance criteria while being fully biobased and biodegradable and to developing a scalable cost-efficient production process. These challenges are addressed in the project, which aims to develop a robust process for production of 100% biobased and biodegradable mycelium-based materials with improved properties, such as mechanical strength and flexibility, durability but also visual and sensory attributes. The project aims to develop a higher-throughput small-scale fermentation platform, based on liquid-state surface fermentation, accelerating the research by enabling a screening of various feedstocks and process conditions, in direct connection to material characteristics. Key innovations include the use of biobased additives, such as crosslinkers, to enhance material properties and the integration of a bacterial synthetic biology host in a co-cultivation approach to optimize cost-efficiency of the process and quality of the product. Collaboration with users will guide initial product development and help to determine optimal applications, thereby further orienting the research. An interdisciplinary research approach will be employed, combining expertise in microbiology, synthetic biology, materials science, chemistry, engineering and product development. Project results will contribute to the future development of new value chains that provide environmentally conscious consumers with a fully biobased and biodegradable new material aligned with the circular economy principles.
The task of Maastricht University is to improve the material properties of mycelium such as mechanical strength and flexibility, durability but also visual and sensory attributes. Crosslinking with biobased and biodegradable materials will be explored and the crosslinking chemistry will use dynamic chemical bonds resulting in covalent adaptable networks that bring e.g. self-healing properties to mycelium.
This PhD project will result in a joint PhD between Maastricht University (UM, the Netherlands) and Free University Brussels (VUB, Belgium). The PhD student will be appointed at the Aachen-Maastricht Institute for Biobased Materials of Maastricht University, which is part of the Faculty of Science and Engineering. You will work in the Sustainable Polymer Synthesis group of Associate Professor Katrien Bernaerts, which focusses on the synthesis and design of polymer materials with tunable properties and recyclability exploiting the functionality of biobased building blocks. At VUB, you will work in the physical chemistry group of Prof. Niko Van den Brande. The chemical part of the work will be preformed at UM location Brightlands-Chemelot Campus in Geleen (Nl), while the physicochemical part of the work will be performed at VUB, Pleinlaan 2, Brussels (Be).
Deadline : 29 Sep 2024
(10) PhD Degree – Fully Funded
PhD position summary/title: PhD candidate | Department Human Biology
Insulin resistance is a key factor in the development of obesity-related cardiometabolic diseases. An imperative problem is that current (lifestyle) interventions are not always effective in improving insulin sensitivity and cardiometabolic health in people with obesity. Therefore, it is important to evaluate treatment responses in an early stage. Measuring metabolic responses is promising to provide early efficacy markers. To this end, this project involves the conduction of a combined lifestyle intervention and the development and application of a novel ultra-high field Magnetic Resonance Imaging (MRI) method to measure early tissue metabolic biomarkers predicting the metabolic (non-)response to lifestyle interventions in individuals with overweight/obesity characterized by predominant skeletal muscle insulin resistance or predominant liver insulin resistance.
Deadline : 08.09.2024
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(11) PhD Degree – Fully Funded
PhD position summary/title: PhD candidate within the Academic Collaborative Center on Sustainable Care Limburg
The DACIL project is set up by an interdisciplinary consortium. The project aims to promote the autonomy, independence and self-reliance of people with Chronic Obstructive Pulmonary Disease (COPD). This is done by providing COPD patients with an artificial intelligence (AI) supported, personalised digital companion used at home that detects disease deterioration by voice and wearables and stimulates and supports a sustainable, positive, and healthy lifestyle to prevent disease deterioration. In DACIL, researchers from different backgrounds (law, medicine, sociology, data science, psychology) join hands together with patients and other relevant parties involved in COPD care. The work of the PhD candidate focuses on the requirements, wishes and expectations of COPD patients (taken into account inclusivity, digital literacy) for the design, usability and feasibility of this personalised digital voice companion. The voice companion includes (1) a function to detect COPD disease deteriorations through voice recognition (and devices) and (2) lifestyle modules to support COPD patients to adapt a healthy lifestyle by personalised support. Within the project, we work closely with data scientists, other research departments within the university and other parties in the Netherlands. The PhD candidate will be supervised by people from the department of Health Promotion at Maastricht University, the Athena institute in Amsterdam and the department of Respiratory Medicine at Maastricht UMC+. The PhD candidate will also be involved in teaching activities within the Digital Technology and Care track within the Bachelor of Health Sciences and the Master of Health and Digital Transformation.
Deadline :01.09.2024
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(12) PhD Degree – Fully Funded
PhD position summary/title: PhD candidate: synthesis and evaluation of biobased covalent adaptable networks (project SusInkCoat)
This project is part of the SusInkCoat consortium with partners both the public and the private sector. The goal of the SusInkCoat project is to develop switchable and adaptive functional polymers and additives for low environmental footprint.
Plastics have their drawbacks: their production consumes energy and leads to greenhouse gas emissions; they are made from non-sustainable materials; they do not decompose; and less than 10% are recycled. Much progress has been made in making plastics more sustainable for larger applications. However, thin films, such as those used in coatings and inks, are lagging behind. The SusInkCoat project is changing that. Researchers are developing new materials, processes and applications to improve the durability, functionality and recyclability of coatings, thin films and inks. In addition, the consortium is training a new generation of chemical developers for whom sustainability and circularity are core values.
The task of Maastricht University is to develop biobased monomers and recyclable thermosets thereof, as well as the chemical and physical polymer characterization. Recyclability of the thermosets will be obtained by the introduction of dynamic bonds and their dynamic behavior will be studied. Properties of the resulting inks and coatings will also be investigated. The PhD student will work closely together with academic and industrial project partners in the consortium. Samples will be upscaled for the testing by the industrial partners. Based on their feedback, the synthesis work will be tuned.
The PhD student will be appointed at the Aachen-Maastricht Institute for Biobased Materials of Maastricht University, which is part of the Faculty of Science and Engineering. You will work in the Sustainable Polymer Synthesis group of Associate Professor Katrien Bernaerts, which focusses on the synthesis and design of polymer materials with tunable properties and recyclability exploiting the functionality of biobased building blocks. You will operate from the Brightlands-Chemelot Campus in Geleen (Nl), where the labs are located.
Deadline : 30 Dec 2024
(13) PhD Degree – Fully Funded
PhD position summary/title: PhD candidate synthesis & evaluation of biobased, responsive and self-dispersible waterborne resins.
This project is part of the SusInkCoat consortium with partners both the public and the private sector. The goal of the SusInkCoat project is to develop switchable and adaptive functional polymers and additives for low environmental footprint.
Plastics have their drawbacks: their production consumes energy and leads to greenhouse gas emissions; they are made from non-sustainable materials; they do not decompose; and less than 10% are recycled. Much progress has been made in making plastics more sustainable for larger applications. However, thin films, such as those used in coatings and inks, are lagging behind. The SusInkCoat project is changing that. Researchers are developing new materials, processes and applications to improve the durability, functionality and recyclability of coatings, thin films and inks. In addition, the consortium is training a new generation of chemical developers for whom sustainability and circularity are core values.
The task of Maastricht University is to develop biobased monomers and stimuli-responsive latex resins thereof via emulsion polymerization, as well as the chemical and physical polymer characterization. The resins are designed to be crosslinkable via reversible bonds and the recyclability of the thermosets will be studied. Properties of the resulting inks and coatings will also be investigated. The PhD student will work closely together with academic and industrial project partners in the consortium. Samples will be upscaled for the testing by the industrial partners. Based on their feedback, the synthesis work will be tuned.
The PhD student will be appointed at the Aachen-Maastricht Institute for Biobased Materials of Maastricht University, which is part of the Faculty of Science and Engineering. You will work in the Sustainable Polymer Synthesis group of Associate Professor Katrien Bernaerts, which focusses on the synthesis and design of polymer materials with tunable properties and recyclability exploiting the functionality of biobased building blocks. You will operate from the Brightlands-Chemelot Campus in Geleen (Nl), where the labs are located.
Deadline :30 Dec 2024
(14) PhD Degree – Fully Funded
PhD position summary/title: PhD candidate for BIOPYRANIA: Developing polybenzimidazoles with new bio-based aromatic monomers
This project is part of the BIOPYRANIA EU project (HORIZON-JU-CBE-2023-R-04) with partners both the public and the private sector.
European industry is facing the challenge of creating sustainable products while considering the environmental impact, durability, recyclability, and safety. There is a pressing demand to explore alternatives to fossil-fuel-based products, and this presents significant challenges for industries, notably the automotive and energy sectors.
BIOPYRANIA offers an innovative solution by utilising new bio-based aromatic monomers, which are obtained through fermentative processes from European second-generation woody biomass. Expanding on previous studies of polyesters based on these new bio-based aromatic monomers at Maastricht University, BIOPYRANIA shows that incorporating these building blocks into materials results in distinctive properties. Leveraging these properties, the project aims to develop sustainable polyamide (PA) and polybenzimidazole (PBI) polymers for high-performance applications in automotive electrification and green hydrogen production.
With the increase of automotive electrification, lightweight and high-performance materials like BIOPYRANIA polyamides are crucial. Simultaneously, the green energy sector demands clean hydrogen production, and BIOPYRANIA aims to improve anion exchange membranes with polybenzimidazoles, with the expectation of meeting 22% of the global “final energy” demand. Recycling will boost their circularity profile, while digital methodologies and comprehensive studies will support and accelerate these advancements.
A task of Maastricht University is to develop a green route for the synthesis of polybenzimidazole (co)polymers from this new bio-based building block, as well as the chemical and physical polymer characterization. Chemical modification of the newly prepared (co)polybenzimidazoles will be studied in order to tune the properties of the polymers towards the final application, namely anion exchange membranes for electrolyzers/fuel cells. The PhD student will work closely together with academic and industrial project partners in the consortium. Lab scale recipes will be transferred to industrial partners for upscaling and material testing. Based on their feedback, the synthesis work will be further tuned.
The PhD student will be appointed at the Aachen-Maastricht Institute for Biobased Materials of Maastricht University, which is part of the Faculty of Science and Engineering. You will work in the Sustainable Polymer Synthesis group of Associate Professor Katrien Bernaerts, which focusses on the synthesis and design of polymer materials with tunable properties and recyclability exploiting the functionality of biobased building blocks. You will operate from the Brightlands-Chemelot Campus in Geleen (NL), where the labs are located.
Deadline : 30 Dec 2024
(15) PhD Degree – Fully Funded
PhD position summary/title: PhD Researcher in Criminal Law
The recent evolution in the field of Artificial Intelligence (AI) has led to introduction of AI-based safety enhancing features and accident prevention systems. These systems can have different duties, such as observing and assessing a person’s fitness to perform a specific high-risk task and issuing warnings/take-over requests. The introduction of these systems leads to the emergence of cooperative actions between the AI system and the human agent, which, again, leads to shared responsibility. This might have relevant consequences on the attribution of criminal liability. On the one hand, there might be the need pose new questions and, on the other hand, to evaluate the need for new answers to old questions.
Moreover, the same evaluations will then enter the criminal trial and may be used as evidence against the defendant. Rules of criminal procedure might not be equipped to deal with this new type of evidence. Differently from other types of “traditional evidence”, establishing reliability, accuracy, and credibility of AI-evidence could be challenging due to its characteristics, such as its opaque nature. One could also question its relevance and probative value. These aspects impact questions of admissibility in court. Other relevant issues include the fact that AI systems cannot be questioned – at least not in the same ways as humans can – even by those who created them (black box issue); and the risk of imposing an unfair burden on the defendant, who usually is in a position of economical inferiority in comparison to the prosecution and lacks access to the tools to challenge the AI-based evidence.
In order to address these questions, two streams of research have been identified:
- The impact of AI systems in the criminalization of humans in macro events of harm: What happens if the decision of the human agent is partially substituted or aided by an AI system? What is the impact of AI on the shaping of criminal negligence standards for human operators? Could AI systems be included in the duty of care?
- AI-generated evidence as a new type of scientific evidence: Are existing legal rules adequate to address AI-evidence? What are the differences, if any, between AI- and other types of “typical” evidence? How should elements such as relevance, reliability, accuracy, veracity and probative value of AI-evidence be assessed?
The candidate is expected to present an original research project that fits into one of the two research streams identified above. Please note that the questions provided are prompts to help the candidate develop their own research question and are not exhaustive.
Deadline :25.08.2024
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(16) PhD Degree – Fully Funded
PhD position summary/title: PhD candidate in Adversarial Machine Learning
Fraud detection systems have become critical for the correct functioning of businesses and governments. A fraud detector is a system designed to detect unusual patterns in data that point to criminal activities. Classic examples of fraud detectors are malicious spam detectors and intrusion detection systems. When such systems are designed, it is commonly assumed that the attacker is unaware of the presence of a fraud detector and, hence, the system is free from any manipulation. Nevertheless, it has been shown that fraud detectors are easily fooled by adversarial attacks, leaving businesses and governments potentially vulnerable to fraud.
In this project, you will study adversarial attacks and assess their impact on the performance of fraud detectors. The project aims to:
- Develop new adversarial attacks on existing fraud detectors to study their weaknesses.
- Develop new adversarial training methods to make fraud detectors more resilient to attacks during training.
- Develop new methods to detect and prevent adversarial attacks on fraud detectors after they have been trained.
The methods and attacks you develop will be tested in various fraud detection applications, including the detection of stock price manipulation, credit card fraud, financial statement manipulation, and customs fraud. You also have the freedom to focus on fraud detection applications of your interest that are relevant to society.
Deadline : 29.08.2024
About Maastricht University, Netherlands –Official Website
Maastricht University is a public university in Maastricht, Netherlands. Founded in 1976, it is the second youngest of the thirteen Dutch universities.
In 2019, 19,000 students studied at Maastricht University, 54% of whom were foreign students, with over 4,000 employees. About half of the bachelor’s programmes are fully offered in English, while the other half is taught wholly or partly in Dutch. Most of the master’s and doctoral programmes are in English. Besides traditional programmes, Maastricht University also has an honours liberal arts college: University College Maastricht and a Maastricht Science Programme in the same liberal arts tradition. The satellite University College Venlo opened in 2015.
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