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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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Intelligence) is being expanded into a leading German AI competence center for Big Data and artificial intelligence (AI). It is located at the TUD Dresden University of Technology and the University of Leipzig
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of Schleswig-Holstein (10 %) and is one of the internationally leading institutions in the field of marine sciences. Through our research and our commitment to the transfer of knowledge and technology, we
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is funded by the German Ministry of Research, Technology and Space in the scope of the Fusion 2040 programme. After reaching scientific gain in laser-driven ICF experiments at the National Ignition
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Max Planck Institute of Molecular Cell Biology and Genetics, Dresden | Dresden, Sachsen | Germany | 24 days ago
, physics, computational biology, bioengineering, or a related field with strong analytical or modeling focus. At least 4 years of experience in scientific research, research coordination, or academic project
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organisation Research programme: The research programme targets substantial progress on spatial data science, spatial intelligence, geospatial technologies, and situated computing. Consequently, the graduate
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: Requirements for employment are a completed M.A. or equivalent in a relevant field (Linguistics, Cognitive Science, Biology, Psychology, Evolutionary Anthropology, Philosophy, or similar), near native-level of
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necessary records and entering data onto computer systems. Your role: Animal husbandry, care and use Provide day to day routine husbandry, maintenance and care of LAR fish colonies (zebrafish, medaka
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Science or German Diplom, preferably in biology, chemistry/biochemistry, psychology, medicine, physics, engineering, or informatics neuroscientific knowledge and interest in an interdisciplinary research
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Project & Group: You will work in the Computational Chemistry group, led by Dr. Mehdi D. Davari, an interdisciplinary team focused on accelerating chemical and biological discovery using computational tools