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(TU/e) is a leading research group dedicated to pushing the boundaries of knowledge in the field of physic-based computing. We are currently seeking a highly motivated PhD student to join our team
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Mathematics (Inverse Problems), Computer Science (Machine learning, Efficient Algorithms and High-Performance Computing), and Physics (Image Formation Modelling). Your project is part of the NXTGen High-tech
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variety of perspectives and backgrounds. The Faculty has six departments: Biology, Pharmaceutical Sciences, Information & Computing Sciences, Physics, Chemistry and Mathematics. Together, we work
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to cope with social inequalities, and how to accelerate sustainability transitions of cities and infrastructures. Research on these topics takes place within our research program “Urban Futures: Transitions
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Population ageing and declining fertility rates pose major challenges
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- 22:59 (UTC) Country Netherlands Type of Contract Temporary Job Status Not Applicable Hours Per Week 36.0 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is
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10 Jan 2026 Job Information Organisation/Company University of Twente (UT) Research Field Engineering » Computer engineering Engineering » Electrical engineering Researcher Profile First Stage
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description As a PhD candidate, you will: - Develop and train deep-learning
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EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Department of Physical geography is looking for a highly motivated PhD candidate with a
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6 Feb 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Computer science » Programming Mathematics » Algorithms Mathematics » Discrete mathematics