611 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" Fellowship positions in United Kingdom
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the direction of a strategically important research area. We hope you will bring: We are looking for a candidate with a PhD in Electrical Engineering, Computer Science, Economics, or a closely related field, and
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, ensuring effective knowledge exchange and impact delivery. We hope you will bring: We are looking for a highly motivated researcher with a PhD in Electricity Markets, Economics, Electrical Engineering
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& hardware, and quantitative evaluation of energy savings. You will be required to coordinate with multiple internal and external parties for the successful deployment of technology, test-bedding, and energy
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programme is to develop a deeper understanding of the immunology of infection, and in particular population carriage/immunity to inform the use (and development) of vaccines. Our focus is predominantly
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have a strong background in mechanical/electrical engineering and should hold a postgraduate degree in business administration or economics. Also, knowledge in the following areas is required: Conducting
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development programmes. The fellowship is tenable for one year. On an exception basis, a two-year programme may be supported. Service Commitment One year for every year of sponsorship. Application Process
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this information-gathering process. The successful applicant will have strong expertise in programming, and in particular developing AI-based computer vision methods. Ideally, they will have experience
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assessment, ecological engineering, social sciences, policy making, environmental science, and/or urban environmental issues at the policy–academic interface. This position is ideal for an early- or mid-career
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The School of Engineering invites applications for three highly motivated individuals to join the University of Southampton. The successful candidates will engage in cutting-edge research under
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an existing open-source malaria transmission model (in partnership with the model developer) to embed these new water layers. Model outputs will then be validated using remotely-sensed datasets and existing