598 engineering-computation-"https:" "https:" "https:" "https:" "https:" "https:" "University of Kent" 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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The Max Planck ETH Center for Learning Systems (CLS) addresses cross-disciplinary research questions in the design and analysis of natural and man-made learning systems. The excellent engineering
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23.10.2023, Academic staff The Technology and Innovation Management (TIM) Group at the TUM School of Management of the Tech-nical University of Munich, headed by Prof. Dr. Joachim Henkel, is
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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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. The project will finally lead to new strategic plans for global observations of the relevant species. Your Qualifications / Experience: A master's degree in physics, engineering, environmental sciences, or a
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reinforcement tasks to work with, enhance or replace established methods from computational engineering and computer simulation (such as the finite element method) to represent and exploit relationships along
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Max Planck Institute for Intelligent Systems, Tübingen, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 10 days ago
, biology and medicine. Using unique 3D & 4D capture facilities, machine learning, computer vision and advanced graphics, we are modeling every nuance of how humans and animals look and move. We develop
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, informatics, physics or a related field strong expertise in machine learning strong interest in high performance computing on CPUs and GPUs proficiency in Fortran, Python, shell scripting proficiency with Linux
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, statistics) interest in natural resources, agriculture or the general food system and related technology a high motivation and the ability to work independently with a strong team orientation excellent spoken
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funded by the German Federal Ministry of Research, Technology, and Space (BMFTR) under the topic focus “Deep geothermal energy ” within the program “Geoscience for Sustainability (GEO: N) ”. The aim