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Field
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programming skills. Your tasks in detail: Supporting research work in the field of welding technology and data processing Application and support of welding simulation software (FE software) Participation in
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• Programming skills, especially in the field of scientific computing and data analysis and web presences • Knowledge of data processing, network architectures and operating system environments. • Good knowledge
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evaluation. The successful candidate will be expected to take part in teaching the Institute’s Bachelors and Masters programs. The position has a teaching load of four hours per week prior to interim
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the preparation of your final thesis Health and mindfulness programs for good balance You can find even more attractive benefits here: Fraunhofer UMSICHT as employer We value and promote the diversity of our
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conditions are met. Under the terms of the “LMU Academic Career Program”, in exceptional cases and subject to outstanding performance in research and teaching, the position may be converted from a W2 into a W3
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engineering or a comparable subject with natural sciences background. You have basic programming skills, preferably in Python. You have good language skills in German or English. You enjoy experimental and
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understanding of business and marketing concepts is essential. Good programming skills in at least one programming language e.g., Python. Experience with machine learning or LLM methods will be a plus. Enthusiasm
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W3-Professor or W2-Professor with tenure track to W3 for Theoretical Physics – Relativistic Astrophy
, astronomy and/or computational physics. These activities should be strengthened and expanded, in particular with respect to coordinated funding programs, while additional, new initiatives are welcome
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research program for the next 6 years. Furthermore, applications should include contact details for their current supervisor and at least two senior, high-profile scientists with no conflict of interest who
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available in the further tabs (e.g. “Application requirements”). Objective This scholarship programme is designed for students, graduates and doctoral candidates. It aims to help them improve their knowledge