363 evolution "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "St" "St" Fellowship positions in Norway
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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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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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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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PhD Fellow in Anthropology: Bushmeat, Infrastructure and Zoonotic Risk in Africa–China Contact Zones
). The research will explore how infrastructural development—particularly roads, mining, and urbanisation—shapes hunting, trade, and consumption of bushmeat, and how these changes affect human-animal interactions
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working and living in Norway can be found here: https://uit.no/staffmobility Application Please note that the application will only be assessed based on the information submitted by the application deadline
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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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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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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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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
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and industry. The selected PhD Research Fellow will be involved in the work package 3 of the Centre focusing on new materials and chemistries. The development of modern Li-ion batteries faces