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Field
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Degree Dr rer nat Course location Bonn Teaching language German English Languages Courses are held in English. Workshops are held in English (80%) and German (20%). Programme duration 6 semesters
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-domain context. Good knowledge of programming languages (e.g. Python, R, Java, C#, C++) Good knowledge of object orientation and at least basic knowledge of UML Knowledge in the field of machine learning
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | 3 months ago
Research Assistant position, with the successful candidate embarking on a PhD programme at LSHTM. It is anticipated that the role will lead to a further 18-month funded opportunity at the Max Planck
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EU MSCA doctoral (PhD) position in Materials Engineering with focus on mechanistic study of high cor
program, and iii) comply with a mobility rule requiring you to not have resided or carried out your main activity (work, studies, etc.) in the host country (Germany) for more than 12 months in the 36 months
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EU MSCA doctoral (PhD) position in Materials Engineering with focus on computational optimization of
doctoral program, and iii) comply with a mobility rule requiring you to not have resided or carried out your main activity (work, studies, etc.) in the host country (Germany) for more than 12 months in
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to design and evaluate programs that enhance community wellbeing. The project is a collaboration between the University of Global Health Equity (Rwanda), TUM, NYU Abu Dhabi, and the Government
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research and start a career as a postdoc at our institute. We offer female scientists the opportunity to participate in our TALENTA program: a comprehensive career and development program that includes
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structured JuDocS program for doctoral candidates https://www.fz-juelich.de/en/judocs Health & well-being: Your health is important to us. You can look forward to a comprehensive company health management
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mathematics Proficient in programming (Python and C++) Fluent in written and spoken English; knowledge of German is an asset Strong analytical and independent working style Excellent teamwork and communication
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electrical engineering, computational engineering, or a related discipline A strong foundation in power system modelling and simulation Solid programming skills (Python, C++, or comparable languages) Interest