516 assistant-professor-computer-science-data-"https:"-"https:"-"https:" Postdoctoral positions in United Kingdom
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for the design of sustainable organocatalysts. The project will be supervised by Dr John Ward and Professor Donna Blackmond FRS at the University of Liverpool, and Dr Alexander Ganose at Imperial College London
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biomedical computing at the School of Biomedical Engineering & Imaging Sciences. The work will be done in close collaboration with a multidisciplinary team at KCL, UCL and clinicians at Great Ormond Street
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About Us The Centre for Rheumatic Diseases at King’s College London is an internationally recognised Centre of Excellence for rheumatology research, spanning health data science, clinical trials
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research assistants, PhD students, and project students). About the department The Department of Experimental Psychology is a large, internationally recognised department with a high volume of academic
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international networks, close links to museums and heritage organisations, and an active programme of seminars, workshops, and public events. The post will also require significant amount of time spent
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: Essential criteria PhD in applied mathematics, statistics, engineering, computational biology, econometrics, or a related discipline. Experience in developing complex models using real-world data, with strong
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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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situated in the Big Data Institute on the University’s Old Road Campus. NDPH contains world renowned population health research groups and provides an excellent environment for multi-disciplinary research
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opportunities. We provide wide-ranging health and wellbeing support including discounted membership for our state-of-the-art sport and gym facilities and access to a 24-7 Employee Assistance Programme. Our
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such as computational social science, computer science, or cognitive science. They will have a demonstrable track record in studying humans and machine learning models, in the context of human social