398 computer-programmer-"https:"-"U"-"UCL" "https:" "https:" "https:" "https:" "CNRS" Postdoctoral positions in United Kingdom
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://www.hw.ac.uk/uk/services/equality-diversity.htm and also our award-winning work in Disability Inclusive Science Careers https://disc.hw.ac.uk/ . Use our total rewards calculator: https://www.hw.ac.uk/about
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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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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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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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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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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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Neurodynamics at the School of Psychology and CLS, as well as at the School of Food and Nutritional Sciences. The host lab (www.bhismalab.org) has an overarching research programme on studying individual
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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