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these challenges by advancing machine learning (ML)-based and data-intensive methods for the scalable design, processing, and deployment of DPPs. The advertised PhD position focuses on developing ML-based and
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and numerical methods for analyzing stochastic transport equations, which are critical for understanding how random fluctuations affect dynamic systems such as turbulence, water waves, and compressible
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include relevant education in research methods. Other qualifications English language skills (written and oral) Language skills in other widely spoken languages, such as Arabic, French, German, Hindi
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the Research Council of Norway. The project’s goal is to develop mathematical and numerical methods for analyzing stochastic transport equations, which are critical for understanding how random fluctuations
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computational methods for antibody recognition is crucial for the development of personalized and precision medicine approaches such as next-generation infection, cancer, and autoimmune immunodiagnostics and
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research methods. Other qualifications English language skills (written and oral) Language skills in other widely spoken languages, such as Arabic, French, German, Hindi, Mandarin, Russian, Portuguese
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observation for oil spill monitoring You are keen on contributing to new advances in deep learning methodology for earth observation. You will work on deep learning methods for detection of oil spills in
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programming and computational modelling as core elements. Questions about the position For further information please contact: Anthony Mathelier Assistant Centre Director anthony.mathelier@ncmbm.uio.no
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mathematics, mechanics and statistics. The research is on theory, methods and applications. The areas represented include: fluid mechanics, biomechanics, statistics and data science, computational mathematics
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programming and computational modelling as core elements. Questions about the position For further information please contact: Anthony Mathelier Assistant Centre Director anthony.mathelier@ncmbm.uio.no