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on a project funded by the ERC Advanced Grant 'RheoYield'. The position is to commence in September 2025 or as soon as possible thereafter. Its overall aims will be to understand the deformation and flow
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amenable to therapeutic targeting. This position will involve the application of advanced data science approaches to explore large-scale clinical datasets extracted from electronic health records, with
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experience: Essential criteria PhD in neuroscience, neuroimaging or related discipline. Experience and knowledge of performing functional MRI experiments Proficiency in the use of statistical packages (e.g. R
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University of Cambridge, Department of Pure Mathematics and Mathematical Statistics Position ID: CambUK -RESEARCHASSOCIATE [#26302] Position Title: Position Type: Postdoctoral Position Location
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with experimental collaboration to uncover complex biological mechanisms. Our interdisciplinary work draws on statistical physics, applied mathematics, and close ties with experimental labs. Current
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together industry, government, and the international community. This Hub is a crucial vector for the delivery of the National Quantum Strategy, enhancing UK prosperity and national security. This position
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Machine Learning, Human-Computing Interactions, Social Sciences, and Public Health. Applicants should hold, or be close to completion of, PhD/DPhil with research experience in computer science, statistics
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Salary: Research Assistant: £33,002 to £34,610 per annum Research Associate: £35,608 to £46,049 per annum Newcastle University is a great place to work, with excellent benefits . We have a
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Postdoctoral Researcher in Machine Learning of Isomerization in Porous Molecular Framework Materials
single “representative” MFM structure, ignoring positional disorder which makes the calculation feasible but at the cost of ignoring the local structure. This is problematic, as the local structure has
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collaboration with statistical physicists for data analysis and experimental design. The Associate is expected to generate breakthrough ideas in the assigned area of research, as well as to carry out research in