266 computer-science-quantum "https:" "https:" "https:" "https:" "https:" "University of Waterloo" positions at DAAD
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, Process Engineering, Computational Science, or a related discipline Strong foundation in fluid mechanics, gas–liquid two-phase flows, numerical methods (FVM, FEM), and two-phase flow instrumentation
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with a possibility of extension. Research Focus IMPRS-GS: Projects span experimental (genomics, transcriptomics, proteomics, etc.) and theoretical (bioinformatics, computational biology, etc
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Description The Chair Group of Production and Resource Economics at the TUM School of Management and the TUM School of Life Sciences offers a position as Ph.D. Student / Junior Researcher in
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available in the further tabs (e.g. “Application requirements”). Programme Description The Leibniz Institute of European History (IEG) in Mainz awards fellowships for doctoral students in European history
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well as share research knowledge via teaching. Qualifications The candidate will hold a Master’s in Chemical, Process, Environmental Engineering, or equivalent, and is a naturally curious person who is eager
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. Schäfer, Institute for Advanced Membrane Technology (IAMT), +49(0)721 608 26906, Andrea.Iris.Schaefer at kit.edu , https://www.iamt.kit.edu . Applications Multiple positions are available! Please send
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available in the further tabs (e.g. “Application requirements”). Programme Description The Grant Programme of the Berlin House of Representatives awards funding to young researchers in any subject area from
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institutions from academia and industry: https://euraxess.ec.europa.eu/jobs/401249 . Your mission The aim of the project is the development of a physical model of the initial solidification of steel during
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Description The Chair Group of Production and Resource Economics at the TUM School of Management and the TUM School of Life Sciences offers a position as Ph.D. Student / Junior Researcher in
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available in the further tabs (e.g. “Application requirements”). Programme Description The Jeff Schell Fellowship can be granted to MSc and PhD students from all fields of natural science and data science