410 computer-programmer-"https:"-"CNR" "https:" "https:" "https:" "https:" "U.S" Postdoctoral research jobs in United Kingdom
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different applications are being developed in the project. The experimental programme involves development of high-throughput experimental capability (at Imperial College London). The SRE group (Prof Lapkin
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programmes. You will have experience of managing your own academic research, working with children and families in a research setting, and working with NHS sites including leading on NHS ethics and amendments
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of Lewy body disorders such as dementia with Lewy bodies and Parkinson's, with the overarching goal of identifying novel biomarkers, treatments and therapeutic interventions. The programme integrates
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an exciting, stimulating, diverse research environment and actively promote a family friendly workplace. The Institute is also a member of Stonewall’s Diversity Champions programme. The John Innes Centre is a
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inclusive and sustainable battery redeployment. Working with Dr Radhika Khosla and Dr Anupama Sen, and collaborating with interdisciplinary colleagues in the Circular Battery Economies Programme, you will
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training events across the network. The post is based at the University of Oxford, Department of Experimental Psychology, UK where you will enrol on the doctoral program (DPhil) joining a dynamic and
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about groundbreaking international research and academic excellence. Ready to be part of our team? Let’s shape the future together! About the team: The Computational Materials Physics group develops and
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successful in this position, you will ideally bring the following: For the Networking and AI position: Completed a PhD in Computer Science, Electrical & Computer Engineering, or a closely related field Expert
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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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, providing direct feedback on theory analysis and further predictions. The goal is to develop a theoretical and computational approach that has strong predictive power for finding completely new types