10 environment-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" Postdoctoral positions at University of Oslo
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/organisation/geohyd and https://www.mn.uio.no/geo/english/research/groups/remotesensing ). We are a growing, lively, friendly and collaborative research environment in cold regions sciences, in
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12 months in the 3 years immediately prior to the date of recruitment, 1 April 2027. See https://marie-sklodowska-curie-actions.ec.europa.eu/actions/doctoral-networks Candidates must meet the entry
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up to 2-3 Doctoral Fellowships. The PhD-positions will be connected with one of the faculty's present research groups ( https://www.tf.uio.no/english/research/groups/ ) or research fields. Applicants
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scientific writing, dissemination and preparation of publications and research proposals. Contribute actively to the collaborative research environment of BIOMAT and associated research groups. via Unsplash
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, identify individuals at risk, and develop strategies for sustained weight loss and long-term weight maintenance. Yvonne Böttcher’ research group ( https://functionalgeneticsofobesity.wordpress.com
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within the duty component of 25 %. Project description This position is part of The Norwegian Centre for Embodied AI (NCEI, https://www.ntnu.edu/web/ncei ), one of Norway’s six national AI centres. NCEI
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learning. Research Environment & Collaboration The successful candidate will work at the interface of probabilistic machine learning, computational statistics, and biostatistics, developing new
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weight regain and obesity relapse, identify individuals at risk, and develop strategies for sustained weight loss and long-term weight maintenance. Yvonne Böttcher’ research group ( https
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to the broader research agenda and environment of the AUTOKNOW project, including project workshops. If the postdoctoral researcher does not already possess the teaching/pedagogical qualifications that
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Interested in pursuing a PhD in machine learning in an interdisciplinary and collaborative environment in Norway? Integreat - Norwegian Centre for Knowledge-driven Machine Learning at the University of