13 Computer-Science "Genentech" Postdoctoral research jobs at Linköping University in Sweden
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national research program in Sweden. The vision of WASP-HS is to foster novel interdisciplinary knowledge in the humanities and social sciences about AI and autonomous systems and their impact on human and
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into consideration. We are looking for someone with a doctoral degree in computational physics, applied mathematics, computer science, bioinformatics, structural biology, or a related field. Documented experience in
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most two pages, explaining your motivation, research goals and why you fit the advertised position. The workplace The Department of Computer and Information Science was founded in 1983, but its roots go
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Management Lab (KDMLAB) of the Department of Computer and Information Science at Linköping University. The department is one of the largest computer science departments in northern Europe, with research
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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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Chemistry » Computational chemistry Physics » Applied physics Researcher Profile Recognised Researcher (R2) Positions Other Positions Country Sweden Application Deadline 20 Jan 2026 - 23:31 (Europe/Stockholm
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7 Feb 2026 Job Information Organisation/Company Linköping University Research Field Biological sciences Researcher Profile Established Researcher (R3) Application Deadline 31 Mar 2026 - 12:00 (UTC
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pathology program and the biomedical program. For more information about the Department of Biomedical and Clinical Sciences, please see here . The employment This employment is a temporary contract of two
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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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application! If you have experience in research on canine behavioural biology and are skilled at analysing large datasets, this position may be the right fit for you! Work assignments Your main tasks will be