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analysis and machine learning methods for optimisation and decision making, to describe the F&V supply chains for various products at regional UK scale and assess their resilience to cascading risks
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for NHS ethics and Health Research Authority approvals. You will have experience in mixed methods research, particularly with expertise in qualitative methods and be committed to conducting research
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of tumour mouse models and assess the antitumour effect of this therapeutic method. The candidate should have the skills to develop patient derived organoids for orthotopic injection in mice. The candidate
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), using ethnographic and qualitative case study methods under a cross-cultural research design. Fieldwork duties will include: cultivate and maintain relations with key informants, gateway contacts, and
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applicant. Access to high-performance computing facilities and cloud-based quantum hardware will be provided to support simulation and verification of theoretical methods. About you The successful candidate
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have an interest in the use of AI in healthcare. Proven competence in programming methods in Python and similar environments is also essential. Informal enquiries may be addressed to Professor David
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methods in Python and similar environments is also essential. Informal enquiries may be addressed to Professor David Clifton (email: david.clifton@eng.ox.ac.uk). Only online applications received before
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quantitative methods will be highly valued, but such skills are not essential. The postholder will be a member of the Saïd Business School’s research community with access to internal research seminars and other
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able to demonstrate sufficient knowledge in the discipline and of research methods and techniques to work within established research programmes. Applicants will be able to demonstrate skills and
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buildings and their evolving significance. By pioneering a novel theoretical framework and advancing innovative research methods, the project aims to profoundly influence the development of future landmarks