31 research-group-software-architecture Postdoctoral positions at University of London in Uk
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About the Role The Astronomy Unit at Queen Mary is seeking a Postdoctoral Research Associate to work with Dr Edward Gillen on the early evolution of planetary systems as part of the European
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research on topics including education and non-cognitive skills in educaiton is desirable. The post holder will work closely with the PI, researchers, and students in Dr Malanchini’s group at Queen Mary
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group, work as part of the research team, mutually supportive, cover duties as necessary. About You The candidate should have experience working in a research, possibly with a PhD. Experience in standard
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successful candidate will join the Intelligent Muscle Research Group, led by Dr Majid Taghavi, within the Advanced Robotics Laboratory. The role involves close collaboration with a team of researchers, led by
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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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About the Role The role will work on a project focusing on the commericalisation of research-led monitoring, reporting and verification services for nature-based solutions. The role will involve
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About the Role A Postdoctoral Research Associate position is available in Dr Guifen Chen’s lab in the Department of Psychology, School of Biological and Behavioural Sciences. Building
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School The School has an exceptionally strong research presence across the spectrum of Mathematical Sciences. It is part of the Faculty of Science and Engineering, which comprises five schools and two
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About the Role We are looking for a motivated and collegialPostdoctoral Research Associate (PDRA) in Statistical Genomicsto join the expanding Statistical Genomics team of Dr Valentina Cipriani
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About the Role We are seeking a Postdoctoral Research Associate in AI for Musculoskeletal Conditions for research into AI-based predictive systems to stratify patients, understand disease pathways