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evolution and protein optimisation, applying molecular biology and biophysics. Researchers will be supported to develop skills in the latest AI or machine learning tools for protein design. According
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Postdoctoral Research Assistant in Design for Behaviour Change: Circular Economy for Medical Devices
recommendations for the effective adoption of these solutions. You should possess a relevant PhD/DPhil (e.g. in Design, Business, Engineering or a related discipline) and sufficient specialist knowledge in
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work with limited supervision to design and accurately execute experiments to achieve the goals of the project. Applicants should hold, or be close to completion of, a PhD in Biology or a related subject
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to design and accurately execute experiments to achieve the goals of the project. Applicants should hold, or be close to completion of, a PhD in Biology or a related subject. You should have a high level of
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of new methods relevant for drug discovery analysis pipelines, trial design and operational efficiency. Other responsibilities will include helping with supervision of PhD students working on projects as
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medicine, with a primary focus on optimizing clinical trial design. The partnership will bring together the University of Oxford’s expertise in statistics, mathematics, engineering and AI with industry
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and experimental protocols. You will work with limited supervision to design and accurately execute experiments to achieve the goals of the project. Applicants should hold, or be close to completion
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. You will work with limited supervision to design and accurately execute experiments to achieve the goals of the project. Applicants should hold, or be close to completion of, a PhD in Biology or a
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for 12 months, with the possibility of extension, starting from 1 January 2026 or as soon as possible thereafter. The research activities focus on new design methods for the foundations of offshore
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climate and environmental goals. In this role, you’ll be part of a collaborative team designing useful advice and tools for farmers, managing and analysing agricultural data, and leading your own areas