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for improved understanding of structural and kinetic processes in electrolytes; and machine learning concepts for improved analysis of experimental and simulated data. Material Synthesis Within this research
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of analysis and visualization software Very good written and spoken English skills are required Furthermore, experience in dealing with the ICON model and the scientific utilization of ICON data is an advantage
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into account as disruptive events, and which strategies can be derived from this for a resilient system design. Your contribution to scientific analysis: Further develop existing energy system models in Python
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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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-driven simulation with physics-inspired data and image analysis, often in close collaboration with experimental partners, to identify physical principles behind biological dynamics and self-organization
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Master's degree / PhD programme No Joint degree / double degree programme No Description/content The International Max Planck Research School on Moduli Spaces (IMPRS) is the graduate programme of the Max
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. The supervisor from Giessen/Hohenheim typically visits the home country of the PhD student at the beginning of the data collection effort. Data analysis and writing (20 months): After returning to the University
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Pathogen Interactions PhD programme in Regenerative Sciences PhD programme in Auditory Sciences PhD programme in Epidemiology PhD programme in Biomedical Data Science Hannover Medical School © MHH Hannover
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Degree Dr rer nat / PhD Geography Course location Göttingen Teaching language German English Languages Courses are held in English (75%) and German (25%). Programme duration 6 semesters Beginning
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fully equipped department using high resolution live cell imaging techniques and image data analysis as well as atomic force microscopy combined with biochemical and molecular technologies. We foster