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Field
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research that together enhance our contribution to society. Required Qualifications* PhD in computer science, engineering, applied mathematics, statistical physics, biology, or a related field. Reasonable
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hold a master's degree or equivalent education in weather and climate sciences, physical oceanography and meteorology, applied mathematics, energy, or equivalent, or must have submitted their master's
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), MEng/MSc (Research Associate) in Electrical Engineering, Computer Science, Statistics, or other related fields. Solid Mathematical skills. Experience in one of the programming language – Python, Matlab
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, applied mathematics, statistical physics, biology, or a related field. Reasonable communication skills. Experience in coding with Python, MATLAB, Julia, C/C++, or a similar program language. Experience with
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systems. Qualifications and personal qualities Applicants must hold a master's degree or equivalent education in weather and climate sciences, physical oceanography and meteorology, applied mathematics
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one in Tromsø (UiT The Arctic University of Norway). Machine learning is the mathematical and computational engine of Artificial Intelligence (AI), and therefore it is a fundamental force of
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NDPH Fellowship programme is intended to support suitably experienced individuals to develop an independent research area which will enhance Population Health research in Oxford. Under the guidance
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of higher education in the following disciplines including (but may not be limited to) biochemistry, biological sciences, chemistry, computer science, engineering, electronics, materials science, mathematics
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couples’ housing trajectories in the UK and to project future homeownership rates. The successful applicant will have a PhD in a social science discipline (including statistics, computer science and applied
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Sciences, Computing Science and Mathematics, Psychology and the Institute of Aquaculture. FNS is a distinctive academic arena where new fundamental understandings of the complex and challenging inter