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AI methods, especially modern large language models or agentic AI systems. Experience or interest in developing open-source research software. Experience with IRB protocols and data privacy practices
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relativity, in particular the rigorous analytical study of cosmological big bang singularities and relationship to asymptotic notions of initial data. Start date: 01 February 2027 Fixed-term: The funds
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investigating large-scale circulation of the North Atlantic Ocean. The successful candidate will contribute to scientific research at the intersection of the RAPID-MOCHA and OSNAP observational arrays — two
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, machine learning, generative AI and related fields as part of the DataSig II grant “High order mathematical and computational infrastructure for streamed data that enhance contemporary generative and large
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multilingual source material. You will have a strong understanding of deep learning and natural language processing, with practical experience of training, adapting and deploying large language models. You will
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of research investigating cancer risk and prevention. The appointee will work closely with Professor Ruth Travis, Dr Karl Smith-Byrne and other members of the research team, using large-scale epidemiological
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 6 hours ago
and policymakers as an expert involving complex data and methods. Additionally, the ability and willingness to work with a large mix of people and work styles is critical. There are ample opportunities
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Location: South Kensington (Hybrid) About the role: We are looking for a Postdoctoral Research Associate to join an Airbus- and Aerospace Technology Institute (ATI)-funded project to develop data
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of density models that span the entire North Atlantic basin, addressing the problems of disparate survey data, geographically-differing species-habitat relationships, and large unsurveyed expanses that require
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: Molecular modelling and simulation experience during PhD Ability to present complex information effectively to a range of audiences Experience of manipulating and visualizing large datasets We value