153 computational-science-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" Postdoctoral positions in Netherlands
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Postdoc Position in AI Foundation Models for Crop Microbiomes Faculty: Faculty of Science Department: Department of Information and Computing Sciences Hours per week: 36 to 40 Application
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well as application driven. This is done in close cooperation with the chemical, flavor & food, medical and high-tech industries. Research is organized into four themes: Analytical Chemistry , Computational Chemistry
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Join TU Delft to uncover the biology of cellular robustness in an industrial yeast process and translate your discoveries into innovative genome engineering strategies. Job description You will join
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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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the pragmatism that is needed to move a project forward. By the time the position starts, you have obtained a PhD degree in Data Sciences, Computer Sciences, Physics, Earth Sciences, Civil Engineering, or a
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spanning photonics, AI-driven ALD, and energy materials. Information Within the Plasma & Materials Processing group at Eindhoven University of Technology (TU/e), you will join a growing research effort in
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to shaping the next steps of the research. As a postdoctoral researcher, you will: Use existing computational tools and research foundations to investigate promising concrete architectures. Design and perform
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, physics, applied mathematics, engineering, computer science or related discipline. Strong skills in fluid mechanics and numerical modelling. Experience with large observational data sets of environmental
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architectural design, urban planning, building technology, social sciences, process management, and geo-information science. The faculty works closely with other faculties, universities, private parties, and the
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at TU Delft (Faculty of Civil Engineering and Geosciences) and work closely with Prof. Susan Steele-Dunne, her team at TU Delft (m-wave.tudelft.nl) and collaborators in the CROPWAVES project. Job