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developing next-generation AI methods for healthy climate adaptation. The position will focus on building and evaluating foundation models for large-scale spatiotemporal health and environmental data. Our team
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/opportunity-spaces/resilient-climate-and-ecosystems/accelerated-adaptation for more information on ARIA and this programme). The project is a collaboration between groups at the Universities of York and Exeter
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Qualifications:. PhD in one of these fields: Computer Science, Data Science, Biomedical Informatics, Computational Biology, Information Science or a related field. Experience in at least one of the following
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will design and implement differential privacy solutions for large-scale scientific data models in federated learning environments. You will advance privacy-preserving machine learning by developing
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optimization of large language models (LLMs) and related architectures for generative tasks, continuous learning, indexing or retrieval, support of retrieval augmented generation over many data points from long
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motivated Postdoctoral Research Fellow to develop and apply innovative, data-driven models for seismology, with a focus on developing cutting-edge foundation models. This is an exceptional opportunity
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Research Associate will design and perform infection and time-course experiments, generate and analyze host and bacterial transcriptomic data, and integrate phenotypic outcomes with differential gene
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technologies, enabling data-driven—and ultimately autonomous—crop management in greenhouse and vertical farming systems. Postdoctoral Researcher in Autonomous Controlled Environmental Agriculture Our goal
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work to generate high fidelity models of ice crystal icing shedding, verifying tools using a wealth of unique experimental validation data generated by researchers at the Oxford Thermofluids Institute
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Job Description Here's a Glimpse of the Job The Postdoctoral Research Associate will be involved in developing deep learning architecture for multi-object data integration, federated learning approaches