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Stuttgart to work and exchange with the DLR team involved in the project. - PhD/Post-Doc in the field of economic modelling/simulation of energy systems. - Interest in the energy transition and in
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, developing molecular models of electrolytes based on polymers, LiFSI salt, and ionic liquids, in contact with active material surfaces. Simulations will be carried out in confined geometries representative
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human cartilage-on-chip model that simulates mechanical stimulation ready for market introduction. Building upon the proof of principles obtained in their phase 1 programs the consortia led by Amsterdam
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the laboratory to test models and predictions.ch. Preferred background: statistical mechanics, computational simulations, machine learning, glasses Plus: documented scientific achievements in the form of peer
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of doctor is expected to be obtained, Verified copies of other diplomas, list of completed academic courses and grades, Copy of doctoral thesis and up to 5 relevant articles, Other documents
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, Biomedical Informatics or MD with significant concentration in Biomedical informatics, artificial intelligence, data warehousing and machine learning potentially with a MS/M Engineering in the areas above
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framework currently under submission, which serves as the foundation for this research. The post-doc will enhance this framework by developing advanced methodologies, primarily using gem5 simulator as the
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, Biomedical Informatics or MD with significant concentration in Biomedical informatics, artificial intelligence, data warehousing and machine learning potentially with a MS/M Engineering in the areas above
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applications, (2) design and architecture of integrated, hybrid, atomistic simulation software packages (e.g., LAMMPS) and DL models, and (3) documentation, verification and validation, and software quality
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for simulating atomic nuclei, as well as preparing data and using machine learning models for investigating how the properties of atomic nuclei connect to fundamental questions in physics, such as constraining