307 machine-learning "https:" "https:" "https:" "https:" "https:" "University of St" "St" "St" Postdoctoral research jobs in United Kingdom
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world-leading team in ultrafast magnetism and THz photonics. The project is based on the recent breakthroughs: 1. Phys. Rev. Lett. 135, 246703 (2025) https://doi.org/10.1103/ldnx-67qz 2. Nature 630, 335–339 (2024
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the leadership of Principal Investigator Dr Andrew Siemion. Listen's interdisciplinary research has synergies with many of the department's research priorities, including exoplanet studies, machine learning
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Job Purpose To make a contribution to an ERC-funded project Dynamic network reconstruction of human perceptual and reward learning via multimodal data fusion, working with Prof. Marios Philiastides
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machine learning methods to model changes in the brain over the lifespan, including brain structure and function, and how those changes relate to environment and genomics. What We Offer As an employer, we
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spectroscopy methods (Operando XPS/XAS, Hard XPS) to probe the interfacial reactions occurring in Li-ion batteries. Further information about the research group can be found at: https://emi.materials.ox.ac.uk
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folding. The ability to rapidly learn new techniques is highly desirable, and enthusiasm for working across disciplinary boundaries is essential. Full training will be provided where needed. Prior
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and data processing skills: experience of programming in one or more languages (e.g. R, C/C++, Python, Matlab). Practical experience of algorithm development and implementation of machine learning
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machine learning methods to model changes in the brain over the lifespan, including brain structure and function, and how those changes relate to environment and genomics. About the Role The post is funded
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electrophysiology data obtained through collaborations and perform cross-species comparisons. We use machine learning techniques for neural data analysis and computational modelling with a special interest in
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:38183983) using cutting-edge genomics technologies (https://www.biorxiv.org/content/10.1101/2024.12.20.629444v5) to provide core knowledge for development of new therapies and management strategies for PPK