209 postdoctoral-image-processing-in-computer-science-"UCL" positions at Technical University of Munich
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methods in AI and machine learning, contributing directly to state-of-the-art research with high industrial relevance. Your Qualifications A strong background and Master's degree in Computer Science, AI
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between the fields of computer sciences and architecture. The focus lies mainly on Building Information Modelling, decision-support methods in urban planning and knowledge-based design methods. As part of
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should bring a particular interest in digital design and manufacturing technology and systems design. Ideally, you have skills in CAD modelling, geometry processing, and programming, as well as prior
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/d) in Energy Informatics, specifically for a DFG project in wind power forecasting using machine learning. You are passionate about applying cutting-edge information technology to solve the energy and
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motivated PhD students, interns, and PostDocs at the intersection of computer vision and machine learning. The positions are fully-funded with payments and benefits according to German public service
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, computer science, mathematics, physics, or a related field with an outstanding academic record. Interest in mathematical signal processing, optimization, and/or machine learning is important. Since
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the testing of newly devel-oped materials and the use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission
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: Excellent Master’s degree (or equivalent) in computer science, engineering, or related disciplines (typically mathematics, physics). For Postdoc applicants: Excellent track record in computer science
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of the relevant processes with the highest possible resolution. Your Profile A strong background and interest in plant cell biology, biochemistry, physiology and molecular biology We offer Research in a highly
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06.09.2021, Wissenschaftliches Personal The Institute for Communications Engineering is currently offering seven positions for PhD or postdoctoral candidates for the project "6G-life" which is