1,192 assistant-professor-computer-science-data-"https:"-"https:"-"https:"-"https:" positions in Germany
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10.03.2026 Application deadline : 25.03.2026 In the economic history working group at the Faculty of Economics and Social Sciences, a position as Research Assistant / PhD candidate in Asian elite
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available in the further tabs (e.g. “Application requirements”). Objective This programme promotes the exchange of North American, British and Irish students in the fields of science and engineering and
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in computer science, data science, and research IT. The overarching goal is to jointly develop sustainable, FAIR-compliant data structures that will support scientific discovery within the cluster in
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-driven start-ups. To achieve this, we rely on talents like YOU – supported by deep-tech projects, financial resources, professional facilities, and a strong network of mentors and coaches. As part of our
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and assess their applicability in coastal environments. The position will be based in the ZMT’s program area (PA2) Impacts of Global Change and Adaptation and will actively contribute to its objectives
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available in the further tabs (e.g. “Application requirements”). Programme Description The Grant Programme of the Berlin House of Representatives awards funding to young researchers in any subject area from
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12.01.2026, Academic staff The Professorship of Machine Learning at the Department of Computer Engineering at TUM has an open position for a doctoral researcher (TV-L E13 100%; initial contract 1.5
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computer science or another field related to cybersecurity Knowledge and experience in the field of cybersecurity willingness to take on new challenges Strong analytical thinking ability to work in a team What we
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. Become a part of our team and join us on our journey of research and innovation! Be
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mainly in relation to transformers Experience with Pytorch and transformer architectures is desirable Good English skills Enrolled student (Computer Science, Data Science, Mathematics or similar