71 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "UCL" research jobs at Aarhus University
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fishing activities, major shipping routes, and offshore development locations. The EU Oceans Pact highlight the need to assess and manage dumped munitions. Two EU-funded projects, MUNI-RISK ( https://muni
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: https://ece.au.dk What we offer The Department of Electrical and Computer Engineering offers: An exciting opportunity to work on cutting-edge research in IoT systems and critical infrastructure monitoring
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activities are project-based with a solid tradition in cross-disciplinary research and international collaboration. Job description The postdoctoral researcher will work with Dr. Robert Ladwig on developing
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Work The place of work is Ny Munkegade 120, 8000 Aarhus C. Contact Information Further information about the position may be obtained from / For further information please contact: Dr Simon Wall +45
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. The position will be in the lab of Group Leader Dr. Antoine de Morree, an energetic and growing lab at the forefront of stem cell biology. The lab aims to understand how adult stem cells work inside the living
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part of the research groups of Drs. Lars Angenent and Alfred Spormann in a joint collaborative project, which also includes Prof. Bruce Logan of Penn State University. We are seeking highly talented and
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Applications are invited for a 23-month research assistant position in the field of Aerial Robots at the Department of Electrical and Computer Engineering, Aarhus University, Denmark. Expected start
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For further information, please contact: Dr Georgina Brennan, +4520689612, g.brennan@ecos.au.dk. Deadline Applications must be received no later than 12th December 2025 . Application procedure Shortlisting is
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computer graphics, or human vision and attention. The posts require research skills in the design of studies, use of methods, research prototyping and data analysis, and you should have documented experience
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at the Department of Electrical and Computer Engineering, Aarhus University, where we are advancing communication-efficient and distributed foundation model inference across the computing continuum