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Description In the research group Dependable and Autonomous Cyber-physical Systems (DACS) on Institute for Software and Systems Engineering (ISSE) at Clausthal University of Technology has
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collaboration among the Universities of Oldenburg, Hannover, and Bremen, and by being part of the National Wind Energy Research Alliance. In Oldenburg, 50 researchers from physics, meteorology, and engineering
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university degree (diploma, master or similar) in Control, Mechanical or Aerospace Engineering, Physical Sciences, Wind Energy, Renewable Energy or equivalent, aptitude and willingness to pursue a PhD with
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Description If you love vision research and cutting-edge imaging technologies, consider joining the AO Vision Laboratory at the University of Bonn as PhD student. We are seeking enthusiastic and
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. The aim is to develop strategies for potential applications in information technology and quantum technology. A cleanroom for component processing and a variety of modern analysis methods are available
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. The aim is to develop strategies for potential applications in information technology and quantum technology. A cleanroom for component processing and a variety of modern analysis methods are available
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Areas of study Gender Studies, Sustainability Sciences (Social), Social Economics, Sociology, Social Science, Political Science, Religious Studies, Cultural Anthropology, History, History of Science, Economic History, Social History, Early Modern History, Modern History, Cultural Studies,...
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the field of model-driven and data-driven computational science. Job description Are you interested in bridging the gap between mathematical sciences on the one side and natural sciences, engineering and
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Description In the research group Dependable and Autonomous Cyber-physical Systems (DACS) on Institute for Software and Systems Engineering (ISSE) at Clausthal University of Technology has
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at the interface between biomedical engineering and mathematics. The following qualifications are required seeking your consideration for this position: • Excellent Master’s (or equivalent) degree in Numerical