609 machine-learning "https:" "https:" "https:" "https:" "https:" "U.S" positions in Norway
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-supervised by Prof. Marianne Fyhn: https://www.mn.uio.no/ibv/personer/vit/rafalc/ https://www.mn.uio.no/ibv/english/people/aca/mariafy/ Jarli og Jordan/UiO via Unsplash Jarli og Jordan/UiO What skills
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an international and interactive environment. Candidates must have extensive experience with: Programming (including MATLAB) and computational modelling Machine Learning (ML) methodology applied for complex data
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. Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/297568/associate-professor-20-se… Requirements Research FieldJuridical sciencesEducation LevelPhD or equivalent Additional Information
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of illness to the ways medical knowledge, technologies, and policies shape societies. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/292473/research-assistant-position-20
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Africa and Europe. The network will consist of 15 PhDs, that together will work and learn as an international cohort and collaborate across projects to bring together insights anchored in different sectors
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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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future plans with their potential supervisor and learn how to write a successful MSCA-PF application. The selected candidates will, jointly with the supervisor, write the MSCA-PF application by
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, see details at uit.no/project/arcticmsca/program-structure ). At this event, the candidates will present their past research achievements, discuss future plans with their potential supervisor and learn