14 high-performance-quantum-computing-"https:"-"https:"-"https:"-"https:" Postdoctoral positions at University of London
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approaches and the high precision of dynamic approaches. The successful candidate will: You will have a PhD in Computer Science (or be near completion) with a strong research record in one or more of the
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Revolution with Ultra-Low Energy 2D Materials and Devices (NEED2D)." The project focuses on cutting-edge research into the growth, characterisation, and application of high-performance two-dimensional (2D
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successful candidate must have a PhD (or equivalent) in the field of computer vision or a closely related area. They will possess the skills and ability to conduct high-quality, innovative research and to
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and Immigration website . Full-Time, Fixed-Term (until 31 August 2028) The Department of Computer Science is seeking a Postdoctoral Research Fellow for the Leverhulme-funded project “Social Mechanisms
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and Hypertension (SLASH). This project brings together expert academic teams and wider stakeholders to develop policy interventions to reduce salt intake to prevent high blood pressure, heart disease
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; managing the ongoing ethics and secure storage of the datasets. You will co-author high-impact academic publications and lead on translating these findings into accessible, practical resources for our
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newly refurbished laboratories and state-of-the-art microscopy facilities, providing an outstanding environment for high-impact research in atherosclerosis. Located in the heart of the City of London
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innovative problem-solving. The position requires maintaining a high standard of research, presenting findings at leading international conferences, and publishing in high-impact journals. About You The
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, to deliver the aims of the programme. The PDRA will join a team working on extracellular vesicles as well as other aspects of inflammation resolution, with close attention to the exploit this science for
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other demands About You We are looking for an experienced researcher to develop and deliver projects that leverage whole-genome sequencing at population-scale to identify rare, high-impact variants