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The Robot Learning Lab in the Department of Computing at Imperial College London is seeking a talented Research Assistant (pre-doc) for an ambitious new project on dexterous robot learning. In
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obtain) in areas relevant to this post (e.g. computer science, engineering, Statistics, and mathematics etc). This role is eligible for sponsorship under the skilled worker route Commitment to Diversity
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at the University of Liverpool. You will be part of an exciting Liverpool-based UKRI-funded programme of research called ¿SCHOUSE: Supporting Communities in social Housing and Optimising Urban food System
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(‘CSMH’), a cross-Faculty initiative between the Faculty of Social Science and Public Policy (SSPP) and the Institute of Psychiatry, Psychology and Neuroscience (IoPPN). The centre aims to understand
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experience: Essential criteria PhD in Biological Sciences, Molecular Biology/Genetics, Microbiology, Immunology or related discipline. Research experience in fungal pathogenesis, especially Candida. Research
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, or in the final stages of obtaining a PhD, in a relevant area of social science (e.g., social policy, economics, demography, sociology, social statistics, social epidemiology). Advanced knowledge
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About the Role This Postdoctoral Research Associate (PDRA) position is part of an exciting EPSRC-funded programme, "Enabling Net Zero and the AI Revolution with Ultra-Low Energy 2D Materials and
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), and their research teams in the Quantum Light and Matter group. The overarching goal of the research is to synthesise and study artificial quantum materials using ultracold CsYb molecules arranged in
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dynamic strain and flow fields during flight. Candidates should hold a PhD in a relevant biology or engineering discipline and be competent with numerical simulations. Desirable competencies would include
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are looking for candidates to have the following skills and experience: Essential criteria PhD in Molecular Biology or a related discipline Experience in advanced cell culture and neuronal differentiation