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at the German Cancer Research Center (DKFZ) and Heidelberg University. The two research groups will provide support for both the biological aspects and the computational and automation components of the project
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models using experimental data for precise mapping of real processes Conducting detailed analyses of thermomechanical stresses in electrochemical converters using the finite element method (FEM
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property prediction, modern artificial intelligence methods, molecular dynamics, and interdisciplinary research, this is your chance to be part of an exciting journey at the forefront of science and
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application to the European mission of a Digital Twin Earth. ML research directions will include physics-aware machine learning, reasoning, uncertainty estimation, Explainable AI, Sparse Labels and
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imagery Engineer advanced architectural components and workflows for efficient and effective foundation model training and fine-tuning Devise data curation and balancing schemes Rigorously assess model
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-specific protein components, which are subsequently tested in relevant model systems. This includes plasmid design and cloning, as well as potential screening in cell lines or yeast and validation in primary
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tools Supervising and guiding Master and PhD students Active participation in project meetings and events Presenting and publishing the research on an international stage Your Profile: As part of our
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control and optimization of electrolysis from the cell to the stack requires automated monitoring, analysis, and control of the operating parameters and processes. As part of this project, the potential
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/d) - MF-2025-02 (full time 40.1 hours per week) The position is available starting July 1st, 2025, and initially limited to two years with the possibility of further employment. The position is part
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team with whom you can design the next-level EV? Become part of our Electric Vehicle Lab at the Institute of Automotive Technology and actively shape the future of mobility! About us The Electric Vehicle