198 computer-programmer-"https:"-"U"-"UCL" "https:" "https:" "https:" "https:" "https:" "https:" "P" positions at Technical University of Munich
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international and stimulating work environment that promotes individual creativity and effective teamwork with a clear focus on quality output. More in-formation about the group is available at http
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the course of the application process pursuant to Art. 13 of the General Data Protection Regulation of the European Union (GDPR) at https://portal.mytum.de/kompass/datenschutz/Bewerbung/. By submitting your
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führt aktuell verschiedene Projekte in Bereich E-Mental Health durch (weitere Informationen unter https://www.sg.tum.de/digitalhealth/startseite/ ) The position is suitable for disabled persons. Disabled
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., for quantum computing, microfluidics, or conventional circuits and systems. Our focus on interdisciplinary partnerships and networks will enable you to meet many interesting people (at places all over the world
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/d) in Energy Informatics. You are passionate about applying cutting-edge information technology to solve the energy and climate crisis and would like to work in a vibrant and international research
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similar is required. • Hands-on mentality, independent and diligent operation is welcomed. • Excellent at working independently, taking initiatives, responsibilities, able to plan and carry out multi-tasks
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and be creative. With the help of extensive and goal-orientated professional development measures and career-building programmes we encourage you to grow as a person. To ensure a good work/life balance
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22.11.2020, Wissenschaftliches Personal The 3D AI Lab at the Technical University of Munich is looking for highly motivated PhD students and PostDocs at the intersection of computer vision, machine
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engineering, computer science or electrical engineering, with good grades. Experience in scientific work, project proposal writing and team leadership are part of your repertoire. In addition, you are
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of acquisition, organization, compression, analysis, and visualization of georeferenced or geometric data in large scales. We put emphasis on methods of distributed computing, machine learning, image and text