26 computational-physics "https:" "https:" "https:" PhD positions at Delft University of Technology (TU Delft) in Netherlands
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be successful, you will have: MSc in Physics, Mathematics, Engineering, Computer Science, Statistics or related disciplines with a strong background in mathematical modeling, algorithms and
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, Computer Science, Nanobiology, Mathematics, Bioengineering or a related discipline Interest in statistical physics, stochastic processes and data analysis methods Interest in engaging and collaborating with
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will not process applications sent by email and/or post. #EUfunded This is an EU funded project, named ZEUS, with project number 101286802, within program HE. As part of knowledge security, TU Delft
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, we meet regularly, share ideas and knowledge, and you will receive the support you need to evolve as a scientist. Job requirements In order to be successful, you bring: MSC in Computer Science, Physics
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38.0 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 Infrastructure? No Offer Description Are you
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Do you want to be part of the energy transition and help
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19 Mar 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Engineering » Biomedical engineering Engineering » Computer engineering Researcher Profile
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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you ready to develop cutting
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Deadline 3 May 2026 - 21:59 (UTC) Country Netherlands Type of Contract Temporary Job Status Not Applicable Hours Per Week 38.0 Is the job funded through the EU Research Framework Programme? Not funded by a
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hold an MSc in Earth science, environmental science, data science, physics, mathematics or computer science, with practical machine learning/artificial intelligence courses and relevant project and