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assessing exoplanet properties Knowledge about ESA’s PLATO mission goals Knowledge about planet formation and disk models Experience with numerical methods for addressing planet formation through N-body
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, 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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grounding in and documented prior experience from research within the Nordic Iron Age Familiarity with scholarship and methods from and co-working with the natural sciences and/or relevant experience. Good
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. The Department is engaged in teaching and research covering a wide spectrum of subjects within mathematics, mechanics and statistics. The research is on theory, methods and applications. The areas represented
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learning in the Visual Intelligence Graduate School . You are keen on contributing to new advances in deep learning methodology for earth observation. You will work on deep learning methods for detection
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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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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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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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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