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’ (PHOENIX), led by Associate Professor Thomas Aubry (University of Oxford). Using a combination of laboratory experiments, field work and numerical modelling, PHOENIX aims to improve our understanding
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samples and disease models. Working closely with a dynamic and multidisciplinary team of clinicians and scientists, you will help generate and interpret high-resolution datasets that reveal new insights
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and Care Excellence (NICE) and other leading agencies. Depending on your level you will: GRA: Support cost-effectiveness aspects of health technology assessments (HTAs), analysing economic models
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31 September 2028) in association with a new Faraday Institution-funded project entitled “Accelerated Development of Next Generation Li-Rich 3D Cathode Materials (3D-CAT)”. You will have a PhD (or be
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WIMM and wider university, and close ties to the WIMM’s advanced genome engineering platforms for generating new experimental models. We are also part of a dynamic and collaborative immunology community
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and optimising assays aimed at target validation; principally through immunogenicity assays in animal models. You will also conduct experiments aimed at understanding the tumour-immune microenvironment
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level of detail extracted from these experiments. As part of this role, you will work closely with other researchers to translate these experimental results into our numerical models, helping to improve
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cancer progression, immune evasion, and therapeutic resistance. We place a strong emphasis on the use of spatial biological approaches applied to human tumour models including organ/tumour perfusion, slice
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to the 4th February 2026. You will be investigating the safety and security implications of large language model (LLM) agents, particularly those capable of interacting with operating systems and external APIs
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for rhabdomyosarcoma, a rare and aggressive paediatric and young adult cancer with significant unmet clinical need. This is a wet lab position based in the Centre for Immuno-Oncology within the Nuffield Department