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workflows for descriptor based microstructure reconstruction to identify material parameters for crystal plasticity simulations from experimental data through inverse analysis to establish structure–property
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cytometry methods Experience with cell culture 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
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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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on the analysis of target proteins at different levels of biological organisation. Ultimately, the goal is to explore new strategies for diagnosis and therapy. This section places particular emphasis on tumour
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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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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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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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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
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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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cooperate with the PhD student at TU Dresden to link the modelling of glacial-isostatic adjustment (GIA) with the interpretation of geodetic GNSS measurements. You will focus your work on the numerical