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funded by the German Federal Ministry of Research, Technology, and Space (BMFTR) under the topic focus “Deep geothermal energy ” within the program “Geoscience for Sustainability (GEO: N) ”. The aim
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. The project will finally lead to new strategic plans for global observations of the relevant species. Your Qualifications / Experience: A master's degree in physics, engineering, environmental sciences, or a
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, informatics, physics or a related field strong expertise in machine learning strong interest in high performance computing on CPUs and GPUs proficiency in Fortran, Python, shell scripting proficiency with Linux
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available in the further tabs (e.g. “Application requirements”). Programme Description How can digitalisation contribute to a more sustainable future at a time when global climate change is challenging our
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finishing their MD studies, Master of Science, or Diploma (particularly in biology, biochemistry, molecular biology, and biotechnology). The programme in Regenerative Sciences also welcomes engineers
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-Tracking, and their responsible applications. Ideal candidates will have: An M.Sc. degree (or equivalent) in Computer Science, Game Engineering, Mathematics, Statistics, or related fields. Strong programming
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the course of your doctoral program Our requirements Solid basic knowledge of cell culture as well as isolation of human primary cells Interest and experience in working with bioreactors, especially organ-on-a
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Course location Oldenburg Description/content In addition to doctoral research, the Graduate School Science, Medicine and Technology (OLTECH) offers doctoral training opportunities to provide our
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Studies Sports Science Psychology Engineering Sciences Civil and Environmental Engineering Mechanical Engineering Electrical Engineering & Information Technology Faculty of Computer Science Natural & Life
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Degree PhD Course location Saarbrücken In cooperation with Close collaborations have been established with the University of Technology Sydney (UTS, Australia), University of Groningen