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Description The Graduate School Scholarship Program(GSSP) of the German Academic Exchange Service (DAAD) is offering two (2) doctoral scholarships for aspiring PhD students within the framework
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mechanical engineering, electrical engineering, physics, materials science or a comparable field Experience in material processing and analytics Basic experience with CAD and/or programming software Ability
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engineering, physics, materials science or a comparable field Experience in material processing and analytics Basic experience with programming software for data analysis Ability to work independently Enjoy
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facilities Competitive research in an inspiring, world-class environment A wide range of offers to help you balance work and family life Further training opportunities and free in-house language courses
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journals of the field. German and English language proficiency; deep knowledge of the German academic & funding landscape (extramural funding). Strong project-management, communication, teamwork and
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using the programming language Fortran. Experience or willingness to run numerical models on parallelized supercomputers. Experience in the analysis of model output using Python or a similar high-level
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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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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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to resources and support for designing own doctoral research project within the AgriPoliS group Opportunity to join the IAMO Graduate School and to participate in the German Doctoral Certificate Program in
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programme of computer science, mathematics, physics, electrical engineering, computational linguistics, or similar with good grades PyTorch skills: experience in training machine learning models with one