134 assistant-professor-computer-science-data-"Prof" PhD positions at DAAD in Germany
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the chance to obtain further academic qualification (usually PhD). Tasks: This research project funded by the German Science Foundation within the Priority Programme “Productive Biofilm Systems” aims at, 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. Founded in 1828, today it is a globally
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Dresden, Chair of Railway Track Engineering, Mr. Prof. Dr.-Ing. Duo Liu, Helmholtzstr. 10, 01069 Dresden. Please submit copies only, as your application documents will not be returned to you. Expenses
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collaboration with Prof. Bryce Richards (IMT). The PhD will be registered in the Faculty of Chemical and Process Engineering. Contact Prof. Dr.-Ing. Andrea I. Schäfer, Institute for Advanced Membrane Technology
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, mathematics, computer science are passionate about transportation research with a good grasp on the fundamentals of transportation systems optimization possess excellent research, academic writing, and
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, master’s degree) in transportation, computer science or related fields experience with transport models and/or simulation tools interest in interdisciplinary research on the analysis and modeling
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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. Founded in 1828, today it is a globally
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with Prof. Dr. Bryce Richards who leads the Nanophotonics for Energy group (IMT & LTI). The PhD will be registered in the Faculty of Chemical and Process Engineering. Contact Prof. Dr.-Ing. Andrea I
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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. Founded in 1828, today it is a globally
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ranges from core areas of computer science and electronics over medical applications to societal aspects of AI. SECAI’s main research focus areas are: Composite AI: How can machine learning and symbolic AI