481 phd-in-computational-mechanics-"Prof"-"Prof" Postdoctoral positions in United Kingdom
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research programme at Oxford. Candidates should hold a PhD in biomedical engineering, computer science, medical physics, statistics, or a related field. A strong track record of first-/senior or co-author
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computational workflows on a high-performance cluster. You will test hypotheses using data from multiple sources, refining your approach as needed. The role also involves close collaboration with colleagues
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Mobility Reading Group led by Nobuko Yoshida. The successful candidate will be located in the Department of Computer Science Reporting to Professor Nobuko Yoshida, the post holder will be responsible
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associate to join a recently funded 5-year programme of antifungal drug discovery at the MRC Centre for Medical Mycology. This exciting new programme connects MRC CMM researchers with drug discovery experts
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The Role This scheme offers up to 6 months follow-on funding to EPSRC-funded research students after they have submitted their PhD. The EPSRC Postdoctoral Pathway scheme (formerly known as Doctoral
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. Essential Criteria PhD in a relevant field (e.g., computational design, software development) or equivalent professional experience or Master’s degree with significant research experience. Strong knowledge
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stress. Building on our discoveries (Dietrich et al. 2017, Nature Plants; Orosa-Puente et al. 2018, Science; Mehra et al. 2022, Science), this project aims to identify genes and mechanisms involved in
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with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC), Wellcome Trust and National Institute
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Postdoctoral Researcher: Oxford Centre for Emerging Minds Research ‘All About Me’ (Adolescent Focus)
with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC), Wellcome Trust and National Institute
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stress. Building on our discoveries (Dietrich et al. 2017, Nature Plants; Orosa-Puente et al. 2018, Science; Mehra et al. 2022, Science), this project aims to identify genes and mechanisms involved in