69 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "University of St" "St" Postdoctoral positions at Nature Careers in Denmark
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further information are invited to contact Associate Professor Niculina Musat (niculina.musat@bio.au.dk). Who we are The successful candidate will be employed by the Department of Biology at Aarhus
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here . Further information Further information may be obtained from Carlos Acevedo-Rocha: cargac@biosustain.dtu.dk Google Scholar profile: https://scholar.google.com/citations?hl=en&user=yZDS88IAAAAJ
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quality and functioning, particularly in plumes near river outlets. This post doc project will rely on existing data as well as new field data of nutrients, carbon, and stable isotopes from riverine-coast
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. The Section for Wildlife Ecology is situated in Aarhus and employs 35 staff members, including six affiliated with the bat research group. For more information on the Department see: http://ecos.au.dk/en/ What
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19165 Post-Doctoral Fellowship in risk assessment and prioritization and remediation of dumped mu...
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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5-year undergraduate nanotechnology programme and nanoscience graduate programme (https://phd.nat.au.dk/programmes/nanoscience/) the center provides a full educational environment. In
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application of magnetically enhanced electrocatalysis for water splitting and CO2 reduction (see e.g. https://doi.org/10.1038/s41560-019-0404-4). Your main tasks may include Application of new materials and
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Applications are invited for a postdoctoral position in the group of Dr Aleksandr Gavrin ( https://mbg.au.dk/a-gavrin/ ) at the Department of Molecular Biology and Genetics, Aarhus University
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information For further information, please contact: Professor Torben Heick Jensen, thj@mbg.au.dk, phone +45 60202705 Application procedure Shortlisting is used. This means that after the deadline
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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