630 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" positions in Norway
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: 31.03.2026 Starting date: January 2027 or by agreement Questions about the position Kari Storstein Haug Professor +4745233984 kari.haug@vid.no Where to apply Website https://academicpositions.com/ad/vid
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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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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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of Anomalies ” (SODA), newly funded by the Norwegian Research Council and affiliated with Integreat – the Norwegian Centre for Knowledge-driven Machine Learning. We are looking for a motivated candidate, who
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the competencies that the Research Fellow will acquire. Access to career guidance will be provided throughout the doctoral education. Research topic We welcomes applications specialising in several fields
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Website https://www.jobbnorge.no/en/available-jobs/job/292474/researcher-at-the-departm… Requirements Research FieldBiological sciences » BiologyEducation LevelPhD or equivalent Research FieldBiological
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must have documented experience with hydrogen technologies, in particular liquid hydrogen systems, hydrogen storage, or cryogenic energy applications. You must have experience with data analysis, machine
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Physiology, Internal Medicine Secondments : - University of Bergen (N): To screen and characterise patients with PAI. - University of Manchester (UK): To learn mathematical modelling of hormone rhythms
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language - English Information - https://www.cessda.eu/ ; Role The Project Manager supports the Head of Project Management in all stages of the successful administration and management of EC and other
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integrated circuits (PIC). An optical set-up will be used to characterize the chips and demonstrate the capabilities of the PICs. The PhD will collaborate with researchers in machine learning for analysis