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, memristive devices), and the evaluation with e.g. machine learning and image processing benchmarks Requirements: excellent university degree (master or comparable) in computer engineering or electrical
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. The research program may also involve a numerical simulation component. Your tasks #analyzing measurements of ocean turbulence using autonomous glider vehicles #use and develop machine learning methods
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of molecular, cellular and organ biology. Research is at the core of this doctoral programme. The thesis research will be carried out under the direct supervision of one member of the IMPRS faculty. Our IMPRS
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Investigators: Dr.-Ing. habil. Judith Rosenow, Chair of Air Transport Technology and Logistics and co-supervised by at least one additional professor plus an international tutor of the RTG
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of the glycosciences in international collaboration creative freedom in your area of responsibility flexible working hours participation in the university's health management program and in
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scientific exchange at the national and international level Your Profile: You have successfully completed a master’s degree in natural or (industrial) engineering, computer science, or a related field You
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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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Technology and Logistics and co-supervised by at least one additional professor plus an international tutor of the RTG Requirements:very good or good university degree in physics, meteorology, fluid dynamics
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Requirements: excellent university degree (master or comparable) in computer engineering or electrical engineering a strong background in digital design, hardware description languages (e.g. Verilog, VHDL
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-pelagic coupling on N2 O production and emissions in shallow coastal ecosystems of the Baltic Sea” in the working group Trace Gas Biogeochemistry within the Department of Marine Chemistry. The position is