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research programme that rethinks how container supply chains (CSCs) are studied in the context of risk, resilience, and sustainability, as part of a prestigious European Research Council (ERC) initiative
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Faculty or Department: Faculty of Engineering and Applied Sciences Based at: Cranfield Campus, Cranfield, Bedfordshire Hours of work: 37 hours per week, normally worked Monday to Friday. Flexible
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teams to design, implement, and optimise innovative solutions that push the boundaries of technology. The role will span various stages of the project lifecycle, from initial concept development to final
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, mechanical engineering, or related subject with a record of publishing in high-quality journals. Good skills in applied Computational Fluid Dynamics (CFD) methods and proven experience of leading research
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reasons will be considered. This is because the roles are aimed at early career academics who would benefit from a structured development programme and provision of both formal and ‘on-the-job’ training
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values diversity acting as a role model and fostering an inclusive working culture Person Specification A First degree with strong quantitative and informatics component e.g. biological, biomedical
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. You will also be responsible for implementing the model as a computer simulation and analysing it within a health-economics framework using standard computational techniques. You will also be
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programme is focused on 1) understanding the biology of paediatric medulloblastoma with a particular focus on the role of myc as an oncogenic driver, 2) exploiting therapeutic vulnerabilities in combination
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, supported by PEACEPLUS, a programme managed by the Special EU Programmes Body (SEUPB). The PEACEPLUS programme is co-funded by the European Union, the Government of the United
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reinforcement learning, computational rationality and user modelling, and simulator-based inference. The post-holder will work on a project from Professor Kaski’s UKRI Turing AI World-Leading Fellowship. Research