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. The successful applicant will be supported in conducting quantitative research (e.g. multinational surveys, online experiments, analysis of existing data sets, computational textual analysis, etc) in this area of
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methodologies -- a powerful combination that’s redefining what’s possible in computational science, and is playing a crucial role in tackling some of today’s scientific and societal challenges. The candidate will
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cavity structure enable a mechanism for the controlled Bose-Einstein condensation at room temperature, with applications in all-optical computing Nature Photonics 13 378 (2019) and quantum sensing Nature
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at the intersection of education, mental health, and developmental science. The successful candidate will contribute to a major research programme investigating how educational experiences shape mental health from
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code, and make effective use of computational resources. • To conduct individual and collaborative research projects under the direction of the Principal Investigator and with other
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well as physiological responses. You will be working with an interdisciplinary team. We welcome applications from people with a broad background in Electrical Engineering and Electronics, Computer Science, and/or
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As part of the Oxford Martin School Digital Pandemic Preparedness Programme and the Leverhulme Centre for Demographic Science (LCDS), Nuffield Department of Population Health (NDPH) are recruiting a
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Full-time: 35 hours per week Fixed-term: for 36 months Applications are invited for the post of Postdoctoral Research Associate in applied algebraic geometry/computational commutative algebra
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with IoT, edge computing, and cloud integration in rural or resource-constrained settings. Proficiency in MATLAB/Simulink and AI/ML tools like TensorFlow or PyTorch. Excellent programming skills (e.g
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associated computing code for modelling avian influenza outbreaks in Great Britain (GB). One position will focus on modelling the risk of virus invasions into GB in different locations and at different times