15 assistant-professor-computer-science "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" research jobs at Linköping University
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Social Robots, which involves several Swedish universities and is funded by WASP-HS (https://wasp-hs.org/ ). The Wallenberg AI, Autonomous Systems and Software Program – Humanity and Society (WASP-HS) is a
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application! The position We are seeking a motivated and curious Research Assistant to join our research team exploring the modulation and pharmacology of proton-activated chloride channels. These ion channels
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employed in the Cybersecurity division with close to 50 members at the department of Computer and Information Science (IDA) . You will work together with Simin Nadjm-Tehrani, professor in dependable systems
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application! We are searching for a research assistant with a focus in Unmanned Traffic Management The position We are seeking a dedicated Research Assistant to join our team and contribute to our ongoing
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scientific backgrounds. LOE offers state-of-the-art infrastructure, including cleanroom facilities, advanced chemistry laboratories, biolabs, and photonics laboratories (see: https://liu.se/en/research
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conduct research on the theoretical foundations of mathematical optimization, as well as its applications to emerging challenges in machine learning and engineering. You will write and submit research
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that develops new knowledge and innovative solutions for sustainable working life in an ageing population. The work is conducted in close cooperation with the Professor Ageing and Later Life and other researchers
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of Neuro- and Cell Biology. Our research focuses on understanding the impact of mechanical forces in the tumour micro-environment and how this influences cancer progression. Our primary focus is on skeletal
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for candidates with a Ph.D. in Electrical Engineering or equivalent, a strong mathematical background and a strong publication record in journals relevant to the research field. As the university operates in
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statistics and machine-learning–assisted approaches, in close interaction with data science collaborators Active collaboration across disciplines spanning spectroscopy, soft matter and nanomaterials