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budgets.You will develop ideas for generating research income and promoting the research area and write funding applications for specific avenues of independent research. You will provide academic supervision
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developing a screening tool to support clinical evaluation for psychosis risk, powered by generative artificial intelligence. You will lead a project to develop a novel research method for identifying and
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departments of the University of Oxford and is part of the Medical Sciences Division, with responsibility for a significant part of the teaching of clinical students within the Medical School. Benefits
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at: https://www.pnas.org/doi/10.1073/pnas.2412424121 https://www.medrxiv.org/content/10.64898/2026.02.27.26347250v1 About you The postholder will have a strong quantitative background with application
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explores genetic causes of neurological disorders and aim to develop therapies for these conditions with a high complementary approach, ranging from stem cell modelling to functional genomic. Information
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of Oxford. The post is funded by United Kingdom Research and Innovation (UKRI) as part of the ACORN IAA and is for 12 months. The researcher will develop visual mapping and change detection algorithms
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addition to developing or tailoring analytical tools and resources. The Postdoctoral Researcher will also prepare manuscripts and presentations, and attend scientific seminars. The postholder will work closely with
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Medicine Study and the Antidepressant for Prevention of Depression in First Episode Psychosis. You will be a key member of a research group whose broad aim is to develop evidence for novel treatment targets
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VulcansFluids: The behaviour of halogens and sulfur in high temperature natural processes. Research will be predominantly in the experimental petrology laboratory under the direction of Prof Bernard Wood https
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department in its field, running a globally competitive programme of research and teaching. The Kennedy Institute is a biomedical research centre uniquely bringing together discovery science and early-stage