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computer science or statistics A solid background in mathematics, linear algebra and statistics. Documented experience with Bayesian spatiotemporal modelling, including experience with the INLA framework
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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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Requirements: MSc (Research Associate) or PhD (Research Fellow) in Mathematics or Computer Science or closely related fields. Ability to design and implement advanced algorithms and data structures. Independent
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institution for higher education collaboration within the Guangdong-Hong Kong-Macao Greater Bay Area, garnering considerable influence both domestically and internationally. The Department of Mathematical
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the results of this project. Candidates must possess a good first Degree (or Master's) and PhD (or near competition) in Engineering, Mathematics, Physics, Computer Science, or related disciplines. Your working
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in the form of a toolkit for action and a training programme to enhance the intercultural competence of stakeholders working in the above-specified fields. The role offers an opportunity to work in an
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Contract Type: Fixed Term (Up to 8 months - To complete specific time limited work) Are you interested in astrophysics, and how advanced computational methods can be used to investigate the dynamics
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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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NDPH Fellowship programme is intended to support suitably experienced individuals to develop an independent research area which will enhance Population Health research in Oxford. You will be responsible
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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