620 machine-learning "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" "U.S" positions in Norway
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to apply: https://www.jobbnorge.no/en/available-jobs/job/294610/phd-research-fellows-in-geosciences-planetary-or-exoplanetary-sciences-up-to-three-positions Where to apply Website https://www.jobbnorge.no/en
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computational modeling to identify bacterial strains and metabolites that promote or hinder probiotic establishment. By combining multi-omics data with systems biology and machine learning approaches
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and how to apply: https://www.jobbnorge.no/en/available-jobs/job/294723/phd-research-fellow-in-biochemistry-and-structural-biology Where to apply Website https://www.jobbnorge.no/en/available-jobs/job
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95 94 31 Deadline for applications is 5 May 2026. This date also applies to the submission of publications/written work. Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/298248
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hazards, enhancing asset protection, maritime security, emergency preparedness, and societal resilience. The project will leverage advanced AI and machine learning techniques to enable predictive risk
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the Theoretical Ecology Group (http://bio.uib.no/te ). The ocean is a physical environment that is dynamic and variable in terms of e.g. light, temperature, and ocean currents. These provide constraints and
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to SAFE. Delivering EVU course from SAFE center. Required selection criteria A PhD degree (or equivalent) in biometrics, information security, computer science, electrical engineering, or machine learning
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allocations, and this doctoral fellowship is expected to have a strong experimental component. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/294517/phd-research-fellow-in
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Digital. The research focuses on advanced signal analysis and machine learning methods that enable robust operation and service continuity in future wireless networks under challenging radio conditions. As
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into reliable information about structural and aerodynamic behaviour remains a challenge. The PhD will develop data-driven methods that combine measurements, physics-based models, and machine learning to extract