250 computer "https:" "https:" "https:" "https:" "Dr" "University of St" Postdoctoral research jobs in Denmark
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research profile within organisational studies, Computer-Supported Cooperative Work, Human-Computer Interaction or related research areas as documented by a PhD dissertation and/or research publications
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, and train deep learning models on the resulting data to design new antibiotic compounds that evade both current and likely future resistance mechanisms. Your computational work will directly steer
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environment that supports this equilibrium. You can read more about family and work-life balance in Denmark . Aarhus University also offers a Junior Researcher Development Programme targeted at career
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Committee. You can read about the recruitment process at https://employment.ku.dk/faculty/recruitment-process/ . Interviews will be held on 27 April 2026.
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-Anthropology programme at Aalborg University. Your competencies Applicants should have a strong interest in human–robot interaction and collaboration and in the role of emerging technologies in healthcare
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of the highest quality and is responsible for a large part of the medical degree programme. Academic staff contribute to the teaching. English is the preferred language in the laboratory, at meetings
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setups (cryostats, superconducting detectors). Experience in cleanroom nanofabrication workflows, especially e‑beam lithography or dry etching. Knowledge of quantum information science or hybrid quantum
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-year period and is funded by a Carlsberg Foundation Accomplish Grant to Prof. Nanna B. Karlsson. About the position This position is part of the research programme REGLA, investigating the physical
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PhD degree in medicine, epidemiology, data science, complexity science, computational science, social science or other related sciences You have some experience with research related to health issues
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Join us at the Department of Electrical and Computer Engineering at Aarhus University for a postdoctoral position focused on deep learning based analysis of remote sensing data for groundwater