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Field
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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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of the Korean Wave (Hallyu), commencing on 1 October 2026 or as soon as possible thereafter. This Fellowship forms part of the Hallyu South Korean Studies Programme and offers an exciting opportunity for an early
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& International Health is seeking to appoint a Research Fellow in Health Data Science (with a focus on machine learning) to NeoShield , a multi-country implementation research programme focused on neonatal sepsis
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Programme? Not funded by a EU programme Reference Number 5286 Is the Job related to staff position within a Research Infrastructure? No Offer Description Faculty of Engineering and Applied Sciences
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Machine Learning Researcher to join a multidisciplinary team of fabrication engineers and AI specialists at the University of Southampton, within the School of Electronics and Computer Science, working in
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Researcher (R3) Application Deadline 11 Apr 2026 - 00:00 (UTC) Country United Kingdom Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a
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& International Health is seeking to appoint a Research Fellow in Health Data Science (with a focus on machine learning) to NeoShield , a multi-country implementation research programme focused on neonatal sepsis
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and experience with previous relevant experience in computational modelling and experimental testing. Applications for Research Fellow positions will be considered from candidates who are working
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will be to develop a photonic circuit integrated nano-electromechanical system (NEMS) and optical NEMS devices for secure/quantum communications. You will work at the School of Electronics and Computer
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GÖTTINGEN ACADEMY OF SCIENCES AND HUMANITIES IN LOWER SAXONY | Lower Green, England | United Kingdom | 24 days ago
(April–September). The programme is a funding initiative of zukunft.niedersachsen , a joint programme of the Lower Saxony Ministry of Science and Culture and the Volkswagen Foundation, and is coordinated