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cavity structure enable a mechanism for the controlled Bose-Einstein condensation at room temperature, with applications in all-optical computing Nature Photonics 13 378 (2019) and quantum sensing Nature
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research will feed directly into the broader goals of this programme to assess the suitability of various approaches to GGR. About you You will hold or be close to a PhD in Aqueous/Environmental/Ocean
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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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of a wider programme of work to establish that membraneless organelles, biological liquid droplets, are effectively regions of organic solvent, suspended inside cells and that the properties of each
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tomography and single-photon emission computed tomography. We are a highly interdisciplinary and international team closely working together with colleagues from different medical universities, biomedical
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conferences. It is essential that you hold a PhD/DPhil in computational biology, genomics, bioinformatics, computer science, statistics, or a related field together with strong programming skills in Python, R
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workflows and validate the established systems in tandem with clinical partners. About You You will possess a PhD (or be nearing completion) in mechanical, electrical, or biomedical engineering, or a related
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, state-of-the-art laboratories, high-performance computing, and industry collaboration through the London Institute for Healthcare Engineering. About the role We are looking for a highly motivated
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technical teams. You will also contribute to research dissemination, capacity building, and open-source platform development. Skills, Experience & Qualification needed You will have: A PhD (or nearing
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networks. A key part of this role is related to developing research independence; there are opportunities to receive training and development in key technical skills (e.g., experimental and computational