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) transmission electron microscopy (TEM/STEM), nanoindentation, and complementary microstructural and mechanical analysis methods Comparative evaluation of innovative materials with reference materials Literature
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areas: scientific programming and data analysis (e.g., Python, R, C++, MATLAB), computational modeling, imaging and sensor data processing, bioinformatics, systems biology, or biophysics Familiarity with
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/casa-sdl-dbe/pinm ) 3. ProSeC: Bacterial protein secretion: from modeling and data analysis to application (Link: www.fz-juelich.de/de/ibg/daten-ki/casa-sdl-dbe/prosec ) 4. VICAR: In vivo
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one of the following areas: scientific programming and data analysis (e.g., Python, R, C++, MATLAB), computational modeling, imaging and sensor data processing, bioinformatics, systems biology, or
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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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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
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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