573 machine-learning "https:" "https:" "https:" "https:" "RAEGE Az" positions in Norway
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machine learning techniques to develop emulators for the theoretical predictions of various observables as function of cosmological parameters. The candidate will develop and use skills in topics such as
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, the Hospital Pharmacies Enterprise in South-Eastern Norway and the Medicines Optimization Innovation Centre, Nord-Irland. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job
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year. PROMENTA has more than 50 scientific staff members and was established with funding from the Research Council of Norway and the Department of Psychology at the University of Oslo (UiO). Learn more
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The successful candidate will primarily teach and supervise students in the department’s
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, causal inference, and machine learning to study real-world treatment patterns, effectiveness, and safety of monoclonal antibodies (mAbs) used in autoimmune, inflammatory, and neurological diseases. Using
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for this position is on campus in Bergen, and full presence is expected. Work tasks: Teaching and supervision, including examination. Shared responsibility for learning resources in accordance with study programs
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PhD Research Fellow in Theoretical and Computational Active Matter Physics for Glioblastoma Invasion
Language requirement: Good oral and written communication skills in English English requirements for applicants from outside of EU/ EEA countries and exemptions from the requirements: https://www.mn.uio.no
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well as innovative and inquiry-based teaching and learning. The Faculty consists of six departments as well as a Faculty administration. Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/296312/phd
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large datasets analyses Active participation in LALP Lab activities Required selection criteria You must have completed a doctoral degree in cognitive science or computer design/programming Training and
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of Norway through the “Arctic MSCA-PF program”. Successful postdoc candidates will be invited for a two-day MSCA-PF symposium June 10-11, 2026 (hybrid physical/digital event, see details at https://uit.no