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learning methods for multi-modal image data applied to industrial challenges in the energy sector? Advance the use of seismic tiles for extracting information about geological layers? Contribute to a deeper
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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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. 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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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