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Field
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the technical and social challenges of Advanced Air Mobility (AAM), considering ecological, economic, technological, and sociological factors. The RTG's structured PhD program aims to train young researchers in
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Description TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. For TUD diversity is an essential
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to research on the biology of human viruses as well as the pathogenesis of viral diseases. The institute offers the opportunity to perform cutting-edge research in a world-class research environment with
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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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social challenges of Advanced Air Mobility (AAM), considering ecological, economic, technological, and sociological factors. The RTG's structured PhD program aims to train young researchers in highly
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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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microphytobenthos and its contribution to the benthic methane flux from the coastal zone of the Baltic Sea” in the working group Trace Gas Biogeochemistry within the Department of Marine Chemistry. The position is
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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
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energy system model workflows Your Profile: Master’s degree in computer science, data science, natural sciences, economics, engineering, mathematics or a related field of study Huge interest in data