296 computational-physics-"https:"-"https:"-"https:"-"https:"-"UCL" Postdoctoral positions in United Kingdom
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leader across a range of sport and physical activity domains. We are proudly ranked 8th and10th in the UK, in the Times and the Complete University Guide 2025, respectively, and 10th in the 2021 UK
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, psychology, computational neuroscience, biomedical engineering, or a closely related quantitative STEM discipline. A strong background in cognitive, behavioural, and/or systems neuroscience, with relevance
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). You will work with the Principal Investigator (Prof. James Lea) to agree a programme of work that both delivers project aims and draws on your strengths. There will also be opportunities to pursue your
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materials. Academic Qualifications and Skills Required: PhD in Physics with a strong grasp on Optics and Lasers. Demonstrated record of research activity. Strong experimental skill with a background in some
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of the training process in Premier League football players. This is a unique opportunity for an enthusiastic, collegial, and high-performing researcher seeking to embed themselves in a high-performance sporting
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electronics and software. The post-holder will also have the opportunity to teach. The post-holder will have the opportunity to teach. Applicants should hold a PhD, or be close to completion in physics
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. Applicants must hold a PhD in Chemistry or Physics (or be close to completion) or a relevant subject area to taking up the appointment. You will be expected to work well as a part of the team, and contribute
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University (USA), and Google Deepmind (London). About the role The PDRA will lead the development of new computational and mathematical models to quantify and predict infectious disease risk, particularly for
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offer the greatest opportunity for energy independence and deep decarbonisation (i.e. process heat and hydrogen) to meet net zero targets. Our programme of research, collaboration, and skills development
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to improve the impact of AI on global societal outcomes through impactful research that is rigorously grounded in the social and computational sciences, decision-maker education campaigns, and training