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), and a neuropsychological rehabilitation programme for people with MS with mild or moderate cognitive problems. The successful candidate will join an established multidisciplinary team of clinical
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on a new project called TRUSTLINE, which is part of the Learning Introspective Control (LINC) DARPA Program. The project aims to develop machine learning (ML)--based introspection and monitoring
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contribute to the successful delivery of a complex, multi-stakeholder research programme by: Coordinating and supporting empirical research projects across multiple military sites in the UK; Facilitating
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TRUSTLINE, which is part of the Learning Introspective Control (LINC) DARPA Program. The project aims to develop machine learning (ML)--based introspection and monitoring technologies that enable robotic
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rehabilitation programme for people with MS with mild or moderate cognitive problems. The successful candidate will join an established multidisciplinary team of clinical researchers, led by Professor Roshan das
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part of this exciting programme of work, spanning multiple strands. Your experiences to date will include conducting qualitative research (qualitative data collection and management) in a health care or
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support needs of minoritised ethnic people with multiple long-term conditions, and transform how healthcare providers, communities and policymakers construct, respond to, and support them in local and
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-funded programme of research, ImPROving GROUP Treatment for People with Severe Obesity (the “PROGROUP” programme). The successful applicant will support the PROGROUP team in delivering and evaluating
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of experimental data. You will primarily support the insectary at the Jenner Institute aiming for the assessment of new target antigens as vaccine candidates for the Malaria Vaccine Programme using some of the most
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partners. Main Duties Improve, develop, implement, and apply advanced computational tools and workflows to process, analyse, and interpret large-scale LCMS-based metabolomics datasets across multiple species