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Field
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focus on physical and mathematical aspects is required. In addition, scientific programming skills (preferably in Python) and experience with numerical models are essential. Desirable qualifications
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scientific documentation cited in the candidate's curriculum vitae, it will be delivered within 10 working days; Other documents that the candidates may find relevant for the analysis of their application
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fuels (hydrogen, methanol, ammonia), simulation tools for marine engines and/or fires due to fuel leakages, data analysis methods and their applications for ships, sufficient understanding of appropriate
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, with exciting collaborative opportunities globally, as well as within Luxembourg. The doctoral candidate will perform wet lab experiments as well as computational analysis to uncover biophysical
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dynamics and composites? Are you familiar with numerical simulation and optimization? You got some experience with data evaluation and analytics? Maybe you even have some knowledge of the wind industry and
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material parameters for crystal plasticity simulations from experimental data through inverse analysis to establish structure–property linkages based on numerical simulations and to transform them into AI
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get exposed to a multitude of technologies including nanofabrication, optics, spectroscopy, data analysis, and numerical simulations. Working, teaching and research at ETH Zurich We value diversityIn
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. The execution of the research work itself typically involves the conceptualization of the research questions and ideas, data collection, qualitative and/or quantitative analysis of the data, and writing and
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and Marine Research. The tasks include: scientific advancing methods of satellite altimetry analysis over the Antarctic Ice Sheet analysis of measured surface elevation changes in conjunction with
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techniques is highly desired Previous experience with genomics approaches and data analysis is a plus. Interest in working in a project with wet and dry lab aspects Interest in working independently