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Field
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. The position is fixed term and full-time and includes both research and teaching activities. The PhD scholarship is part of the research project Not Liking School: Lived Experience of School Emotions, funded by
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higher degree of complexity in materials, geometries, and length scales. As a result, the design of such systems has become quite a challenge. This becomes even more challenging when considering
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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
. For the necessary professional and social interaction, it is a prerequisite that you are physically present and available to the institution on a daily basis. The appointment is carried out in accordance with
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improved understanding of the behaviour of (bio)materials, and of complex (bio)chemical and physical processes that are of technological and scientific importance. The computational work will be closely
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. An example is the extension to turbulence statistics, rather than just mean velocity profiles. You will join the Process & Energy (P&E) department at TU Delft’s Mechanical Engineering faculty, working in a lab
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in real materials behave in complex ways, and turning measurements back into quantitative information about a material’s internal state is a notoriously difficult inverse problem. This is where AI can
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administration and organisation. We are looking for a/an University assistant predoctoral/PhD Candidate 51 Faculty of Physics Job vacancy starting: 01.10.2026 | Working hours: 30.00 | Classification CBA: §48
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5 Sep 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Engineering » Industrial engineering Engineering » Systems engineering Environmental science
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» Process engineering Engineering » Systems engineering Engineering » Other Technology » Environmental technology Technology » Future technology Technology » Production technology Researcher Profile First
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science environment at the interface between neuroscience and digital technologies, enabling scientific progress on the most complex known systems Outstanding scientific and technical infrastructure A