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, manipulate large datasets, visualise data and perform numerical and statistical analysis is a requirement. Experience in handling 'big data', machine learning and working in distributed teams, is useful
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The Nuffield Department of Population Health undertakes world-leading research into long term, chronic health conditions, operating large-scale long-term studies and projects to identify the causes
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-leading research into long term, chronic health conditions, operating large-scale long-term studies and projects to identify the causes, prevention and treatment of diseases that result in avoidable
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field, with a strong specialization in Machine Learning or Computer Vision. Hands-on experience training and deploying large CV models, including some cluster-based or multi-GPU experience. Solid
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collaboration with industry partners and the use of real-world project data. Assisting with the management of a large research group working in the area of "data-centric infrastructure and construction". Applying
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collaboration with industry partners and the use of real-world project data. Assisting with the management of a large research group working in the area of "data-centric infrastructure and construction". Applying
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to understand health communication. We focus on understanding and improving the experiences of patients, rigorously evaluating the effectiveness of treatments and diagnostics, utilising big data, developing
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Assistants to contribute to our research on the ATLAS experiment at Large Hadron Collier (LHC) and direct dark matter searches with the LZ and XLZD experiments. We are looking to fill three positions for a
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city districts. You will play a key role in the development and implementation of digital twins in the built environment using novel approaches for efficient and sustainable data use. In particular, you
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“Songwriting-As-Method” we are seeking to recruit two temporary Research Assistants to support with this work. The role will entail a large range of research activities, including writing literature reviews