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essential attributes include advanced skills in optical and electronic instrument development, strong background in optical spectroscopy and materials/device characterisation. Experience in data acquisition
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/UKRI, aiming to advance PD diagnosis and care by developing novel, predictive AI models for personalised PD risk assessment and prognosis based on multi-source patient data and everyday digital
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if technical problems arise. Contribute to wider project planning, including contributing ideas for subsequent experiments to test new project hypotheses. Gather, analyse, and present scientific data from a
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Capital.com, one of the world's leading trading platforms with millions of users, gaining unprecedented access to proprietary data to conduct frontier research. The project encompasses multiple research
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. Building on strong preliminary data, it combines mechanistic and translational immunology with bespoke in vivo models to define and exploit therapeutically relevant subsets. The Research Fellow will lead
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over one or more core research thrusts within the lab’s multi-agent security programme. You should possess a PhD/DPhil completed, (or near completion), in theoretical computer science, information theory
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bias, and move beyond a neutral scientific view to acknowledge historical context. Specifically, your role will involve leading qualitative data collection and analysis across different phases
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) for more information about the project’s rationale and recent outputs. Role Summary The successful candidate will design and drive a high-level strategy to position DAWN’s findings on deep uncertainty in
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, Shin-Etsu. Applicants must hold a PhD (or close to completion) in a relevant plant or crop science field, have experience growing plants under axenic and/or glasshouse conditions, and possess strong data
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We are seeking a Senior Researcher to join a joint research programme between the Big Data Institute (BDI) in the Nuffield Department of Population Health and the Centre for Human Genetics in