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MSc and BSc in Biomaterials, Biomedical Engineering, Biotechnology, Bioinformatics, Biology, Computer Science, Medical Technology, or a closely related field. Relevant experience with biomedical imaging
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algorithms. Vision Language Model (VLM) experience is desirable. Qualifications A high-grade undergraduate degree (first class or upper second) in computer science or MSc in related field. Skills Knowledge
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Doctoral Programme in Engineering, see Section 6-1 of the PhD regulations for more information. You must have a relevant Master's degree in civil engineering, structural engineering, mechanical engineering
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19 Sep 2026 Job Information Organisation/Company University of Groningen Research Field Biological sciences » Biology Engineering » Biomedical engineering Engineering » Materials engineering
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Integrated optics is currently experiencing unprecedented growth, driven largely by the rapid expansion of artificial intelligence (AI), cloud computing, and high-performance data processing
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an interdisciplinary project in the field of biology, tissue engineering, material science, and chemistry. Complementary to experimental work, the candidate will work on computational models to understand and predict
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PhD candidate for the project "Modulation of inflammatory Dendritic cell subsets in atherosclerosis"
challenges of the future. The research carried out at the Faculty of Science is very diverse, ranging from mathematics, information science, astronomy, physics, chemistry and bio-pharmaceutical sciences
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networks and quantum circuits using techniques from (formal) computer science. You will work closely with this growing team, where most members, including the first PhD candidates who joined in September
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, manufacturers, regulators, notified bodies, and health technology assessment bodies to explore where their views overlap and where they differ. The final part of the project focuses on how regulation can deal
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degree in Computer Science, Artificial Intelligence, Robotics, Electrical Engineering, or a closely related field. A strong academic record and solid background in machine learning and deep learning