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scientists. You meet the following criteria: • a PhD, or a PhD close to completion, in machine learning, artificial intelligence, computational biology, bioinformatics, computer science or a closely related
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to the research project. Your qualities Ideally, your eligibility is exemplified by: a PhD in mathematics; prior experience in research high-dimensional probability theory (concentration inequalities, chaining
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competencies Education You should have completed within the past five years, or be close to completing, a PhD in aerospace engineering, mathematics, physics, computer science or a related field. A PhD in space
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(FIRM) is a five‑year research programme (2026–2030), funded by TKI Deltatechnologie, Nationale‑Nederlanden and contributions from more than 10 partners from academia, the financial sector, engineering
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Applicable Hours Per Week 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
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Science, Physics, Mathematics or Computer Science. You have a solid background in computational fluid dynamics (CFD) and be proficient in programming (e.g., Python, Fortran, or C++) and visualization tools
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collaboration with the Department of Advanced Computer Science and the Sensor Engineering group, creating a highly interdisciplinary research environment at the intersection of plant science, engineering, and
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flows, flow matching, neural ODEs as well as graph neural networks. Looking forward, the aim is to develop new mathematical and computational paradigms that can deepen our scientific understanding of deep
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, Information & Computing Sciences, Physics, Chemistry and Mathematics. Together, we work on excellent research and inspiring education. We do so, driven by curiosity and supported by outstanding infrastructure
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research Education You should have recently completed (within the past five years), or be close to completion of a PhD in applied mathematics, computational science, physics, engineering or a closely related