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skeletal muscle metabolism. The post holder will be responsible for the day-to-day running of this programme of work as part of Prof Tsintzas’ research team in the Division of Physiology, Pharmacology and
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, computational fluid dynamics of the nozzles, additive manufacturing robot programming through slicer and characterisation of the deposits through EBSD, TKD and TEM. The Centre of Excellence in Coatings and
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The University of Toronto’s Eric and Wendy Schmidt AI in Science Postdoctoral Fellowship, a program of Schmidt Futures, brings together the brightest minds who have completed a PhD in the natural
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), based within the Department of War Studies at King’s College London, is seeking a Research Fellow for its new Net Assessment Programme. They will be engaged on a new multi-year research project funded by
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. The applications are evaluated in a two-stage process by international reviewers. The candidates will be informed about the decision around mid-February 2025. Fellows have a work contract with the University
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of London. The successful candidate will join ECLIPSE (Environment for Computational Learning, Interdisciplinary Physics and Scientific Excellence), a newly established interdisciplinary research centre
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innovative modelling methodologies, generate high quality computational and analytical insights, and translate these findings into improved process understanding and industrially relevant solutions. The role
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discounted services including Bupa health insurance Health and well-being services including a leading Employee Assistance Program For more information check out our benefits page! Your new team - The School
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in developing countries through excellence in research, healthcare, and training. Our research programme includes basic scientific investigations, clinical trials, epidemiological studies, intervention
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with animal husbandry Required Qualifications* PhD in engineering, physics, or a closely related discipline 4+ years research experience in areas such as the jamming and deformation of granular materials