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The International Max Planck Research School on Trustworthy Computing (IMPRS-TRUST) is a graduate program jointly run by the Max Planck Institute for Informatics (MPI-INF), the Max Planck Institute
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these materials into high-performance fibers and functional materials. By manipulating molecular interactions through chemical and physical methods, we tailor the structural and mechanical properties of bio-based
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Your Job: Develop AI pipelines that translate -omic signatures into dynamic model parameters Implement reinforcement-learning agents that optimise model performance Collaborate closely with
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of the regions of interest determined in X-ray imaging for later analysis using high-resolution transmission electron microscopy and atom probe tomography Performing transmission electron microscopy experiments
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skills Ability to work in a team German language skills are desirable (communication with local stakeholders) Driving license category B desirable (access to field sites) Your tasks You will conduct
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Your Job: Join the Safe.SIB research project to develop new battery cell chemistries or introduce new functionalities into an existing battery technology to achieve safe, ultra-high performant
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synthetic chemistry excellent results on individual performance criteria (e.g., manuscript/publication resulting from Master thesis, awards) and timely completion of higher education strong motivation
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synthetic chemistry excellent results on individual performance criteria (e.g., manuscript/publication resulting from Master thesis, awards) and timely completion of higher education strong motivation
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faculty at Max Planck Institutes and some of the best German universities. To qualify for the program, students must hold a Bachelor’s or Master’s degree in computer science (or a related field) and have an
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The thesis can be written either in German or French. However, it must contain a substantial summary (approx. 50 pages) in the other language. Programme duration 6 semesters Beginning Winter semester