29 evolution "https:" "https:" "https:" Fellowship positions at UiT The Arctic University of Norway
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The position An exciting postdoctoral position in method development for spatio-temporal medical data is available in the UiT Machine Learning Group at the Department of Physics and Technology . Goal: Develop
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in the Phi_Lab, led by Dr. Azeem Ahmad, and will focus on the development of advanced reconstruction algorithms and next-generation quantitative optical microscopy and tomography systems for imaging
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basic research, applied science, and innovation – offering unique opportunities for professional development and cross-disciplinary collaboration. Arctic Ocean 2050 focuses on processes within the central
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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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quality and birthweight distributions in the Georgian Birth Registry 2. Development of national birthweight-for-gestational-age reference curves 3. Validation of SGA classification in a high caesarean
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was founded in 1872 and is North Norway’s oldest research institution. The museum was incorporated in Tromsø University in 1976. Our main tasks are research, research communication, development and maintenance
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the methodological development working group. Research at ArcEcoGen focuses on the combined effect of humans, climate, and biota on northern ecosystem dynamics in the past, present, and future using environmental DNA
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Postdoctoral Fellow in Anthropology: Meat, Infrastructure, and Zoonotic Risk on Chinas Belt and Road
fieldwork on industrial meat production, animal logistics, and biosecurity practices in relation to BRI development. Analyse how local beliefs, political economy, and transnational infrastructures intersect
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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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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