358 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "University of St" "St" "St" Fellowship positions in Norway
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of AI and in particular machine learning (ML). As today’s mainstream AI/ML workloads often resort to large-scale and energy-hungry supercomputers, it is necessary have a more critical look at how HPC
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criteria see https://www.nmbu.no/en/research/regulations-and-guidelines-doctoral-degrees-nmbu To be employed, you cannot have previously held a PhD position at NIBIO or with funding from The Research Council
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Science About the project This PhD project integrates pharmacoepidemiology, causal inference, and machine learning to study real-world treatment patterns, effectiveness, and safety of monoclonal antibodies
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the areas of stochastic analysis and computational methods towards machine learning with focus on risk-sensitive decision making and control. Techniques may include forward, backward stochastic differential
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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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understanding of how acoustic waves are generated and transmitted in wells. The LeDAS project aims to overcome these challenges by combining physical modelling, advanced signal processing, and machine learning in
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Website https://karriere.norceresearch.no/en/jobs/7235739-phd-research-fellow-in-data-a… Requirements Research FieldMathematics » Applied mathematicsEducation LevelMaster Degree or equivalent Skills
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PhD Research Fellow in Theoretical and Computational Active Matter Physics for Glioblastoma Invasion
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#toc8 Grade requirements
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the competencies the Postdoctoral Research Fellow should acquire. UiO is responsible for following up on the career plan and ensuring that the Postdoctoral Research Fellow has access to career guidance throughout
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the researchers from Department of Automation and Process Engineering will play a key role. We welcome motivated applicants in robotics, control, AI, machine learning, physics, and related fields, including early