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contribution to addressing the major societal challenges of the future. The research carried out at the Faculty of Science is very diverse, ranging from mathematics, information science, astronomy, physics
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research projects are part of a larger project on academic writing in the age of AI. Writing is integral to every academic curriculum, training students to process disciplinary content and to report on
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on how human movement can be influenced in the context of sports, health, physical education and rehabilitation. Our research is multi-disciplinary: we combine anatomy, physiology, psychology and
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the TU Delft Graduate School. The TU Delft Graduate School provides an inspiring research environment with an excellent team of supervisors, academic staff and a mentor. The Doctoral Education Programme is
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characterize and improve high performance soft materials. Your role: Develop chemical and physical understanding of chemistry-driven mechanosensitive imaging. Develop experimental approaches for imaging-based
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Dr Marc Russwurm. Your qualities We seek a highly motivated PhD candidate having: a master’s degree in Geo-Information Science, Physical Geography, Remote Sensing, Applied Mathematics, Statistics or a
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within the next three years is to be expected. A PhD training programme is part of the agreement and the successful candidate will be enrolled in the Graduate School of Law. Selection process Do you meet
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on the theoretical and algorithmic development of control methods that combine physical modeling and real-time computation. The work will involve deriving reduced-order models, designing controllers that exploit
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Hours Per Week 40 Offer Starting Date 1 Feb 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research
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study of materials for functionality. The strength of our institute lies in focused, curiosity-driven, symbiotic studies of functional materials involving researchers from physics, chemistry and biology