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optimization. AI/ML methods development: Neural networks, graph neural networks (GNNs), generative AI, or active learning for materials applications. Integration of theory and experiment: Using computation and
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to contribute to a range of projects including the development of novel prediction tools, the investigation of determinants of symptom instability, and the creation of data-driven personalised treatment
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OF BIRMINGHAMCountryUnited KingdomGeofield Contact City Edgbaston Website https://www.bham.ac.uk/ http://www.heatherflowe.com/ Street Pritchatts Road STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share
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/supporting statement, CV and the details of two referees as part of your online application. Please see the University pages on the application process at https://www.jobs.ox.ac.uk/application-process The
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information: https://www.kcl.ac.uk/slcps About the role We are looking for a skilled biomedical scientist with a strong interest in the human microbiome, clinical test development and have proven relevant
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Research Assistant/Associate in the safer management of long-term conditions (LTCs) in disadvantaged
of dissemination, including presenting to decision-makers, and practitioners and, over time, contribute to the development of funding bids for follow-on research. There are up to two posts, and we envisage one post
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covering letter/supporting statement, CV and the details of two referees as part of your online application. Please see the University pages on the application process at https://www.jobs.ox.ac.uk
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researchers and data scientists. In this project, the postholder will focus on developing and running the IBD cohort studies aligned to this program. Job Purpose This role will allow the development
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(https://www.ucl.ac.uk/work-at-ucl/search-ucl-jobs ) and search using vacancy reference B02-09899. To apply, please upload a current CV, complete the online application form, and use the supporting
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(AMR). The successful candidate will join our Advanced Sensors team and contribute to the One Health Environmental Sensing project, which focuses on the development of novel sensors to enhance