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computer aided methods. Qualifications and Experience • Outstanding academic degree in materials science, metallurgy, metal physics or similar degree • Excellent doctorate with focus on computational
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computer science. It offers automatic grading and feedback of various types of exercises. The tool has been used at dozens of universities around the world (including 5 times at TUM) and graded almost a million
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interdisciplinary cooperations with partners and stakeholders from different domains. Candidates should have completed their Doctoral studies in Computer Science, Mathematics, Mechatronics, Electrical Engineering or
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