621 computer-science-quantum "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" PhD positions in Germany
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engineering, and materials science. The three-year PhD programme includes independent research work in a project involving different branches of science and engineering, and a well-structured scientific
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according to the German public sector rates. Applicants should be available from December 1st , 2023. The Chair of Computational Modeling and Simulation is part of the TUM School of Engineering and Design
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available in the further tabs (e.g. “Application requirements”). Programme Description The Ernst Ludwig Ehrlich Studienwerk (ELES) is one of the foundations for the development of talent which are supported
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Carl von Ossietzky University of Oldenburg • | Oldenburg Oldenburg, Niedersachsen | Germany | about 16 hours ago
defined four main research areas as the following: Environment and Sustainability Neurosensory Science and Systems Medicine, Health and Life Sciences Chemical, Physical, Mathematical and Computational
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”. A precondition for application would be a Master degree in economics (or alternatively, an current enrolment in a doctoral student program in economics). We expect previous activities in economic
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of Electrical Engineering and Computer Science School of Art and Design Course language German and English Financial support No Structured research and supervision Yes Research training / discussion Yes Career
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the life sciences and related disciplines (e.g. biomedical sciences, biology, biochemistry, physics, chemistry, psychology, computer sciences, engineering) Acceptance by an authorised academic supervisor
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Call for applications We are pleased to announce the call for the second cohort of our Graduate Programme RNAmed – Future Leaders in RNA-based Medicine. Applications are invited for 11 PhD
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(mechanical engineering, mechatronics, robotics, electrical engineering, computer science, etc.) -Know-How from lectures in robotics (e.g. environment perception, path and behavior planning, control) -Very good
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(mechanical engineering, mechatronics, robotics, electrical engineering, computer science, etc.) -Know-How from lectures in robotics (e.g. environment perception, path and behavior planning, control) -Very good