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Description Within the Collaborative Research Center “Wave phenomena – analysis and numerics” (CRC 1173) we are currently seeking to recruit, as soon as possible, a Doctoral Researcher (f/m/d – 75
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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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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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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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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
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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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. Your tasks and responsibilities Characterization of ion channel functions using electrophysiological, optical, biochemical, molecular, and cell biological methods Analysis and interpretation