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Field
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) engineering, computer science, or a related field You have very good knowledge of energy technology, energy economics, and energy policy You have already gained initial experience in energy system modeling You
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full-time Mode of study Less than 50% online Programme duration 6 semesters Beginning Winter semester Additional information on beginning, duration and mode of study Combination of on-site and online
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-edge Machine Learning applications on the Exascale computer JUPITER. Your work will include: Developing, implementing, and refining ML techniques suited for the largest scale Parallelizing model training
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supervision collaboration in national or international research projects (optional) Requirements: university degree in Computer Science, Computational Linguistics, Mathematics or a related field solid knowledge
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Description DAAD Graduate School Scholarship Program (GSSP) in Experimental Geosciences The Doctoral Program of Experimental Geosciences at the University of Bayreuth has been awarded a
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interdisciplinary research team. We study tumor evolution and immune microenvironment adaptation by combining functional genomics, experimental model systems, patient samples, and computational biology (Brägelmann et
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Degree Doctor of Science in Neuroscience (Dr rer nat/equivalent to PhD) Course location Tübingen In cooperation with Werner Reichardt Centre for Integrative Neuroscience, Hertie Institute
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-Lettres network) or teach courses themselves (e.g. if obtaining a post/"contrat" doctoral at one of the institutions). Special promotion / funding of the programme Franco-German University (FGU) Course
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the research areas of Infection Medicine and Microbiology, Immunology, Oncology, Neurosciences, Pharmacology/Cardiology/Vascular Medicine, Imaging Technology and Biomedical Engineering, amongst others. A large
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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