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enthusiastic PhD researchers. Tasks and project: As part of a research project, you will be part of a dedicated group developing software for autonomous vehicles. Your research project will focus on quantifying
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, metal physics, or a similar degree Experience in software engineering (incl. high-throughput computing) Knowledge in the field of materials engineering of metals and materials modelling (i.e. CALPHAD
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reports are to be provided to the doctoral committee. An individual academic course programme (lectures, seminars, labs) will be defined to equip young researchers with useful knowledge and skills (30 ECTS
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deep networks for solving inverse problems, learning robust models from few and noisy samples, and DNA data storage. We are seeking a researcher to join our team in an ERC project on DNA data storage
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of dislocation networks, strain fields, and defect evolution under various conditions, offering critical insights into the formation mechanisms and behavior of defects during growth and cooling. The investigations
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and amounts to at least 2300 Euro net per month). Please submit your electronic application as a single PDF file and include the reference "Application Algorithms and compexity" in the subject line. For
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skills in Python and PyTorch including fundamental software engineering principles and machine learning design patterns. Be highly motivated and a team player with excellent communication and presentation