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collaboration with project partners and members of the CDA Group. The role is funded for up to 24 months in the first instance, with an expected start date of October 2025. About You This post is suited to a PhD
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become an embedded member of both teams, joining a Senior Research Fellow and PhD student who engage in cross-technique research in a clinical setting. The hyperpolarised groups are strategically placed
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detection models, with a focus on achieving generalisable multimodal understanding in zero-shot settings. About You The successful candidate must have a PhD (or equivalent) in the field of computer vision or
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challenges. Experience with creative and/or arts-based research methods. Experience of sharing research findings with non-academic audiences *Please note that this is a PhD level role but candidates who have
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The laboratory of Prof. Simon Davis and Dr. Mafalda Santos at the MRC Weatherall Institute of Molecular Medicine (WIMM), University of Oxford, is seeking a talented and motivated Postdoctoral
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scientific career. Demonstrable knowledge and a PhD (or close to completion) in the field of stem cell biology is essential. Previous experience in cardiovascular biology, molecular biology and
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. Queen Mary’s commitment to our diverse and inclusive community is embedded in our appointments processes. Reasonable adjustments will be made at each stage of the recruitment process for any candidate
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Ellison Institute of Technology, Oxford Limited | Oxford, England | United Kingdom | about 16 hours ago
on enhancing food production while improving climate and ecosystem outcomes. By embedding cutting-edge plant science within an organisation dedicated to solving global challenges, we aim to accelerate
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molecular biologists. You will be embedded within the “Mitigating Gram-negative infections” theme in our Health Protection Research Unit in Healthcare-associated infections and Antimicrobial Resistance (AMR
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Computer Science or a related topic. Applicants at the PDRA level must have a PhD in NLP or machine learning. Substantial knowledge of Natural Language Processing (NLP) and machine learning methods is essential, as