324 data-"https:"-"https:"-"https:"-"https:"-"https:" Postdoctoral positions in United Kingdom
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carry out appraisals. Further information about CTC can be found at www.ctc.cam.ac.uk and the GR Group at www.damtp.cam.ac.uk/research/gr/ . Start date: October 2026 Fixed-term: The funds for this post
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are passionate about applying machine learning to real-world clinical challenges. The successful candidate will lead the development and validation of predictive models using multimodal data including neuroimaging
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to work on the analysis and interpretation of data from cosmological hydrodynamics simulations of galaxy formation, particularly from the COLIBRE project. The appointee will work both independently and in
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critical minerals essential for clean technologies. By capturing the voices and silences of those most affected by extractive industries, the project aims to build a bottom-up, data-driven framework
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Brassart (email: Laurence.brassart@eng.ox.ac.uk ). For more information about working at the Department, see www.eng.ox.ac.uk/about/work-with-us/ Only online applications received before midday on the 7th
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project focused on systematically exploring the impact of the exposome on complex disease risk, through the lens of multi-omics data (e.g., genomics, proteomics, metabolomics and biochemistry) from large
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contribute to publications and grant applications. Please see the below 'Job Description' for further details on the role, responsibilities, and selection criteria, as well as further information about the
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glial models, multi-electrode array (MEA), and multi-omic profiling to dissect neuroimmune interactions. You will lead experimental design, data generation, and integration across molecular and functional
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well as further information about the university and how to apply. This post is full time and fixed term for 34 months. Only applications received before midday 12:00 on Friday 9th January 2026 will be considered
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Constrained experimental design Combining models and combining data / Realistic simulation of clinical trials Developing LLMs to utilise ODEs and ProbML as tools, Code synthesis for causality Generalisability