298 machine-learning "https:" "https:" "https:" "https:" "https:" "Mines Paris PSL" "Mines Paris PSL" Postdoctoral research jobs in United Kingdom
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information about this position and to apply, visit http://jobs.sgul.ac.uk . Closing date for applications: Sunday 12 April 2026 If there is any issue with applying for the role, please email recruitment
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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
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their surfaces. Machine learning methods are used to close the complexity gap. Currently, the group consists of three full professors, one associate professor, 6 postdocs and about 15 PhD and 7 master
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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
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(email: jin-chong.tan@eng.ox.ac.uk ) Further information can be found at http://www.eng.ox.ac.uk Only online applications received before midday on 8 May 2026 can be considered. You will be required
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) Further information can be found at http://www.eng.ox.ac.uk/jobs/home Only online applications received before midday on 8 May 2026 can be considered. You will be required to upload a covering letter