373 evolution "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" "St" Fellowship positions in Norway
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. Sufficient knowledge of Science & Technology Studies (STS), strong interest in the development of STS research both theoretically and empirically, collaboration skills and an ability to work in
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of Psychology at the University of Oslo (UiO) in 2019. Learn more about working at PROMENTA here: https://www.sv.uio.no/promenta/english/ . Colourbox via Unsplash Colourbox Qualifications Required qualifications
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which also include health care services . More practical information for working and living in Norway can be found here: https://uit.no/staffmobility Application The applicant must present both a cover
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of the National Insurance Scheme which also include health care services. More practical information about working and living in Norway can be found here: https://uit.no/staffmobility Application
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to the development of a unified framework for benchmarking robotic manipulation performance in both terrestrial and underwater contexts. Contact For further information about the position, please contact Associate
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the field of botanical conservation ecology. The University Museum's main tasks are research, development and conservation of scientific collections, management and dissemination. The museum's employees also
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Postdoctoral Fellow in Anthropology: Meat, Infrastructure, and Zoonotic Risk on Chinas Belt and Road
tasks Conduct ethnographic fieldwork on industrial meat production, animal logistics, and biosecurity practices in relation to BRI development. Analyse how local beliefs, political economy, and
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Insurance Scheme which also include health care services. More practical information about working and living in Norway can be found here: https://uit.no/staffmobility Application Please note that the
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, the project runs pilots in e-government and open-source platforms to test deployment strategies across the EU. QARC also supports policy development, standardisation, and coordinated roadmaps, with special
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AIS data from ocean-going vessels. The objective of the Ph.D. position is to develop: Development of frequency domain machine learning applications to detect risk or threat situations in underwater