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and temporal resolution environmental exposure models experience processing environmental data with high spatial and temporal resolution to assign localised exposure, either by statistical area or
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or doctoral qualification in neuroscience or a closely related field, and a strong background in signal processing, programming and electrophysiological techniques. Demonstrated skills in data analysis and
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website. Online Info Sessions for Prospective Candidates Join our upcoming online info session to learn more about the fellowship, eligibility, and application process. Details and registration
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and qualified Research Fellow to join our research team on the project titled “Development of 3D Vegetation Quality and Intensity Indices”. This project specifically looks at the processing and
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envisaged as a full-time role but we will consider part time arrangements for the right person. As part of our commitment to recruit fairly we use anonymised-selection processes until interview, offer
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that the post-holder’s development as an academic will benefit from this appointment. View the Further Particulars and Application Process Location: Oxford Salary: The successful applicant will be
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Interpretable AI concepts to make the postprocessing transparent and to improve the understanding of processes during heavy precipitation events over India. Implement the ML postprocessing methods on high
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Are you a researcher looking for your first challenge? Are you excited to explore the opportunities and risks of artificial intelligence on democratic and collective decision-making processes? Do
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primary goal is to independently conduct non-economic biomedical research and to disseminate its results. Application Procedure Applicants are invited to submit their proposals no later than the 31st
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year for every year of sponsorship. Application Process Applications are open throughout the year. Applications received before 15 January 2026 will be considered for intake 2026. Interview by