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of industrial processes. The Department Process Diagnostics develops highly precise measurement techniques, e.g., ultrafast X-Ray tomography, ultrasound techniques and inductive methods, to characterize
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with experimental, numerical in collaboration with other RTG members (fellow students and supervising professors) implementation of the planned research program, evaluation and interpretation
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Mobility (IAM), considering ecological, economic, technological, and sociological factors. The RTG's structured PhD program aims to train young researchers in highly automated, networked mobility, featuring
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combines state-of-the-art computational multiscale modelling (using DFT/TDDFT methods, collision theory, molecular dynamics, stochastic dynamics, Monte Carlo and analytical methods) and its thorough
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this with expertise in high-performance computing and artificial intelligence using unique scientific infrastructures. The Bioinformatics Division of the Institute of Biological and Geosciences (IBG-4
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. Candidates are required to have: master’s degree (or equivalent) in Chemistry, Physics, Materials Science, Nanoscience, Computing in Science or a closely related field strong background in X-ray based methods
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available in the further tabs (e.g. “Application requirements”). Programme Description The research and training programme focusses on the mathematical and algorithmic foundations of reliable AI along with
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, numerical in collaboration with other RTG members (fellow students and supervising professors) implementation of the planned research program, evaluation and interpretation of the results and transferring
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PhD Working Language German English Required Degree Master Areas of study Chemistry, Theoretical Chemistry, Nanomaterials, Physics, Theoretical Physics, Artificial Intelligence, Computer
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international work environment Scientific excellence and extensive professional networking opportunities A structured PhD program with a comprehensive range of continuing education and networking opportunities