598 machine-learning "https:" "https:" "https:" "https:" "https:" "U.S" positions in Norway
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bioinformatics. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/292274/phd-fellowship-in-nuclear-organization-in-breast-cancer Where to apply Website https://www.jobbnorge.no
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Value conflicts and tensions in the life sciences and its different epistemic cultures and evaluative principles and practices. For more information and how to apply: https://www.jobbnorge.no/en/available
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period of three years. The position is located at the University of Agder’s Kristiansand campus. The proposed starting date is the 1st of September 2026. About the Faculty: https://www.uia.no/en/about-uia
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Norwegian University of Science and Technology (NTNU) for general criteria for the position. Preferred selection criteria Experience with machine learning or other relevant AI technologies Scandinavian
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PhD Research Fellow in Theoretical and Computational Active Matter Physics for Glioblastoma Invasion
communication skills in English English requirements for applicants from outside of EU/ EEA countries and exemptions from the requirements: https://www.mn.uio.no/english/research/phd/regulations/regulations.html
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(https://www.ntnu.edu/isb/prostomics#/view/about ), which is part of the broader CIMORe environment at the Department of Circulation and Medical Imaging. The group is located at Øya Campus as part of
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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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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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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