167 programming-"https:"-"FEMTO-ST"-"UCL"-"https:"-"https:"-"https:"-"https:" Postdoctoral positions in United Kingdom
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work on public health interventions to reduce consumption of harmful ultraprocessed foods (UPFs). Based in the Population Health Interventions Programme, the primary role of this post is to lead
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, charitable trusts and foundations, international Universities and industry. The post holder will work as part of a recently-funded EPSRC Programme grant, undertaking research into nanotheranostics, support
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of flexible or part‑time working. The Project Working under the supervision of Professor Nicole Grobert, you will contribute to a collaborative research programme focused on applying AI‑driven analysis to in
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We are seeking to appoint a Postdoctoral Researcher in Neuroscience to play a central role in a Wellcome-funded translational research programme focused on understanding how immune mechanisms
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organisation across species. This will be a key pillar of a larger UKRI-funded research programme developing anatomy-driven artificial intelligence methods for fundamental and translational neuroscience. Working
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of benthic and demersal fish. The role is part of a grant led by University of Liverpool, funded by the Human Frontier Science Programme (HFSP), entitled Vibrational sensing and production in fishes
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internationally leading programme of research. You should possess significant knowledge in physical acoustics in the ultrasonic regime, cavitation physics, the design and construction of high-powered ultrasound
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independent scholarship and engagement with public policy and international institutions is highly desirable. They postholder will contribute to the strategic development of the Initiative’s research programme
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Musculoskeletal Sciences (NDORMS) is part of the Medical Sciences Division and is the largest European academic department in its field, running a globally competitive programme of research and teaching. The
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programme focused on applying AI‑driven analysis to in situ advanced microscopy of fibre‑based materials. The project aims to develop and deploy machine learning tools that extract real‑time structural and