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of York. Based within the Addictions Department at the Institute of Psychiatry, Psychology & Neuroscience (IoPPN), the post-holder will support a five-year programme of research across three priority areas
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of agentic behaviour and publishing high-impact research. Candidates should possess a PhD (or be near completion) in PhD in Computer Science, AI, Security, or a related field. You will have a Strong background
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Job id: 123430. Salary: £45,031 - £52,514 per annum including London Weighting Allowance. Posted: 26 August 2025. Closing date: 27 October 2025. Business unit: Social Science & Public Policy
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engineering, computer science or other field relevant to the proposed area of research. You should have a good track record of robotic publications/presentations in the field of healthcare, possess sufficient
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to Postdocs, Research Assistants, Research and Teaching Technicians, Teaching Fellows and AEP equivalent up to and including grade 7. Visit the Centre for Research Staff Development for more information. About
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, including architecture, computational design, computer science, or related fields, who have a proven track record of applying advanced computational methods to real-world environmental challenges. A doctoral
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and structural biology of rhomboid-like membrane proteins. You should hold a PhD/DPhil in a topic relevant to structural biology and biochemistry, together with relevant experience. You should be able
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-funded project “Future proofing plants through enhancement of yield stability in water-limited environments”. Climate change is arguably the most important anthropogenically-driven factor that will affect
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of the project. Applicants should hold, or be close to completion of, PhD/DPhil in Biology or a related subject. You should have a high level of competence in cell biology and relevant experience demonstrated by
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multidisciplinary BBSRC-funded project “Future proofing plants through enhancement of yield stability in water-limited environments”. Climate change is arguably the most important anthropogenically-driven factor