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part-time, with 65% of the regular weekly working hours (currently 25.35 hours) and should be used for a doctorate. Participation in the accompanying doctoral programme is compulsory. This serves
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part-time, with 65% of the regular weekly working hours (currently 25.35 hours) and should be used for a doctorate. Participation in the accompanying doctoral programme is compulsory. This serves
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out within the DFG Priority Programme “DaMic - Data-driven Alloy and Microstructure Design of Sustainable Structural Metals” (SPP 2489), in close collaboration with a research partner responsible for
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opportunity to actively shape the transformation. You can expect a varied programme: A highly motivated working group as well as an international and interdisciplinary working environment in one of the largest
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highly motivated doctoral student to join an ambitious project aimed at building machine and deep learning models to study the genetics of human disease. Funded as part of the Helmholtz AI program, the
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universities, the Helmholtz Association and Fraunhofer Society. Teaching language English Languages English (100%) Mode of study Hybrid Programme duration 8 semesters Beginning Winter semester Additional
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, French, Italian, Spanish or Latin. Other languages are also possible (upon individual request). Full-time / part-time full-time Programme duration 6 semesters Beginning Summer semester Additional
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system analysis or comparable Initial experience in optimization or statistics is an advantage Initial experience of an object-oriented programming language (e.g. Python, Matlab) and MS Office Analytical
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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
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are an advantage: femtosecond laser and diagnostics, high power lasers, ultrahigh vacuum, programming skills (Labview, Python) Ability to work closely within a team: engineers, students, postdocs and scientists, and