636 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "University of St" "St" "St" positions in Norway
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Research PhD Research Fellow in Education: Learning, Reading, and Assessment in the Context of Generative AI Apply for this job See advertisement Job description Applicants are invited to apply for a 3-year
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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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publications and to contribute to a rapidly evolving field. For more information and how to apply: Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/295728/postdoctoral-research-fel
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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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, 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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» Autonomic computing Engineering » Maritime engineering Technology » Computer technology Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 25 Apr 2026 - 23:59 (Europe
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PhD Research Fellow in Education: Learning, Readning, and Assessment in the Context of Generative AI
Sciences, Department of Teacher Eduaction and School Research PhD Research Fellow in Education: Learning, Readning, and Assessment in the Context of Generative AI Apply for this job See advertisement Job
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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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complementary and synergic methods at the intersection of Artificial intelligence, Machine learning, Numerical simulation, Formal verification. Such methods include, among the others: AI-guided simulation
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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