187 computer-science-intern "https:" "https:" "https:" "https:" "The University of Edinburgh" positions at Leibniz
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based on machine learning. Reference number 05/25 Your tasks Assessment of GaN technology in possible novel integrated GaN RF front-end configurations - Full duplex in-band transceivers - Integrated down
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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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. Publish findings in peer-reviewed journals, present your research at international conferences, and actively engage in knowledge exchange across science, policy, and society. Contribute to transdisciplinary
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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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Based on a cooperation agreement and in a joint appointment procedure, the Faculty of Agricultural Sciences, Nutritional Sciences and Environmental Management of Justus Liebig University Giessen
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master’s program in Physics, Electrical Engineering, Computer Science, Photonics or a related field Prior knowledge in machine learning, data science, measurement technology, optoelectronics Interest in
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(TIB ) – Leibniz Information Centre for Science and Technology – Program Area C, Research and Development, is looking to employ a Research Software Engineer for Digital Research Infrastructure (m/f/d
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into local, national, and international research networks, with close collaboration expected with the university’s research centers "Braunschweig Integrated Centre of Systems Biology (BRICS)", "Center
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engineering, or comparable disciplines Our offer Collaboration with national, international and multidisciplinary teams Possibility for a doctorate Flexible working hours (Work-Life-Balance) Remuneration in
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Creation and revision of texts and presentations Literature research Requirements You study psychology, social sciences or a related subject with a quantitative focus and have at least two semesters of