544 programming-"https:" "https:" "https:" "https:" "https:" "Data driven Materials Modeling" uni jobs in Germany
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agreements and delegation travel to the Director’s international agenda. You plan and orchestrate high-level visits by ministers and members of parliament, industry executives, international delegations and
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Lise Meitner Groups Research Groups at Universities Research Services International Post from... Country Portals Facts & Figures Max Planck Centres Partner Groups Dioscuri Programme Newsroom Career
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: Students of North American Studies with a focus on Politics, or Political Science with a focus on North America or similar subjects, advanced in the bachelor’s program (e.g. completed orientation course
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Fit: We welcome applicants from any discipline who bring at least one of the following: basic programming or web-development skills; experience with gamification or interactive learning design; or a
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partners in the MOSAIC consortium, preparation of documentation and representing LSW in progress meetings and project reviews, and participation in the formulation of the MOSAIC science program. Your
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you contribute You are studying industrial engineering, physics, computer science, mechanical engineering, computational engineering science or a comparable engineering degree programme You are already
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Documenting results and contributing to scientific reports and presentations What you contribute Enrollment in a full-time degree program in computer sciene, maths, or a related field, ideally at the master’s
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Article 13 of the General Data Protection Regulation (DSGVO) http://go.tum.de/554159 regarding the collection and processing of personal data in the context of your application. By submitting your
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< 089 289 15898 More Information https://www.mos.ed.tum.de/en/ftm/career/vacancies/postdoctoral-scientist-m-f-d-in-the-autonomuos-vehicle-lab/
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. The working hours are 15 hours per month. Your tasks will include supporting in the data collection and preparation and also good knowledge of statistics experience in programming with the tools R, Python