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learning models (e.g., multimodal AI, large language/world models) with specific finetuning for ELEVATE; designing geographically context-sensitive urban design recommendations that promote active mobility
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Welcome to Maastricht University! You just finished your PhD trajectory and looking for the next step in your academic career? Your interests lie in the field of machine learning techniques
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Welcome to Maastricht University! You just finished your PhD trajectory and looking for the next step in
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processing, machine learning, computational imaging, and clinical translation. Beyond your individual research contributions, you will serve as a technical coach for the PhD researchers, helping to align
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. Our community is open and informal, with more than 7,000 students, 1,000 PhD students, and 1,400 staff members from all over the world. If you would like to learn more about the Faculty of Science and
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energised — not deterred — by problems that sit between physics, learning and the messy real world. Your experience and profile: a PhD (completed or near completion) in Machine Learning, Computer Vision
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. Our community is open and informal, with more than 7,000 students, 1,000 PhD students, and 1,400 staff members from all over the world. If you would like to learn more about the Faculty of Science and
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-immune disorders, immunology, infections, and infectious diseases. Within the BioMS group you will work in the team and under the guidance of dr. Fabio Marino. Dr. Marino received his PhD in the BioMS
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, ensuring the agent's responses are pedagogically valid, contextually appropriate, and consistent with collaborative learning theory. Scaffolding mechanism design. In close collaboration with the PhD
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chemistry and physics techniques. What you will do You will work in a small team, including one or more PhD students, towards the goal of designing, analyzing and testing novel device structures that exploit