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development, spin simulations, or MR signal modeling is highly desirable. Strong programming skills, for example in Python, MATLAB, C/C++, or a comparable scientific computing environment. Experience with
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highly motivated postdoctoral candidate with a background in biogeochemical modelling. You must have successfully completed a PhD programme in Earth Sciences, Environmental Sciences, Biology or a related
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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 Join an ambitious Horizon Europe/New
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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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to investigate how integrated transformations of schoolyards and school streets can improve safety, social cohesion, active mobility uptake, inclusivity, and well-being across neighborhood communities. Through
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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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, 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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are changing rapidly. That is why we focus on themes such as energy, climate, digitalisation, artificial intelligence (AI), and smart mobility every day. Our education and research are directly aligned with what
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-quality cryo-ET data. The candidate will apply these workflows to challenging questions in the structural cell biology of the assembly of a unique machinery involed in bacterial motility and cell-autonomous
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will work at the Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS), within the Department of Microelectronics . Here, you will join an interdisciplinary research environment