852 applied-physics "Department of Mathematics" Fellowship research jobs in United Kingdom
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- https://www.kcl.ac.uk/jobs/088690-yeoh-tiong-lay-early-career-fellowship
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About Us The School of Science and Technology at Nottingham Trent University (NTU) is an exciting multidisciplinary environment for learning, teaching and research, with some of the best facilities
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King's College wishes to appoint, with effect from 1st October 2024, one Non- Stipendiary Research Fellow in any area of the Physical, Mathematical, or Engineering Sciences. Graduates of any
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Location: Clifton Campus 36 months fixed term contract About the Role We are seeking a fixed term post-doctoral Research Fellow in Biomedical Physics or Engineering to support our exciting work as
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of the cell wall on the kinetics of ice growth. This is a unique opportunity to work at boundaries between physical chemistry and biology, in a research group with a very prominent profile in the ice community
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substantive academic roles at Durham or elsewhere (no guarantee can be given that a permanent role at Durham will be available for the CDF to apply for at the end of the Fellowship). Requirements Additional
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a research career in Science or Engineering at one of the UK’s leading research-intensive universities? The EPSRC Doctoral Prize scheme supports Fellowships of two years’ duration for exceptional
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contact for general queries about the recruitment process How to Apply We prefer to receive applications online. To progress to the assessment stage, candidates must evidence each of the essential criteria
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2206 or email: [email protected] Location: Leeds - Main Campus Faculty/Service: Faculty of Engineering & Physical Sciences School/Institute: School of Mechanical Engineering Section: Institute
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/6GIC), is looking to recruit a Research Fellow in applied adversarial machine learning. This exciting opportunity will contribute to the D-XPERT (AI-Based Recommender System for Smart Energy Saving
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Fellow in applied adversarial machine learning. This exciting opportunity will contribute to the D-XPERT (AI-Based Recommender System for Smart Energy Saving) project. The D-XPERT project represents a