60 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" uni jobs at Nature Careers in United Kingdom
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University College London (UCL) is seeking three outstanding academic leaders to drive transformative, cross‑disciplinary research programmes at the interface of health, life sciences, and
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UCL is a world leading, global university with a community of more than 51,000 students from 150 countries and over 18,000 staff which pursues academic excellence, breaks boundaries, and makes a
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the Centre, enables collaborations in data analysis, computational modelling, machine learning and theory. SWC also benefits from interaction with the wider UCL Neuroscience community, which brings together
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UCL is a world-leading, global university with a community of more than 51,000 students from 150 countries and over 18,000 staff which pursues academic excellence, breaks boundaries, and makes a
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to traverse genes and complete transcription, as well as those that abort this process by removing or destroying Pol II on genes e.g. https://doi.org/10.64898/2025.12.04.692291 ; https://doi.org/10.1016
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. You will work on developing and applying foundational methods for the synthesis of large genomes, specifically the human genome. For further background information see https://www3.mrc-lmb.cam.ac.uk
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on the lab: https://www.pdn.cam.ac.uk/directory/ewa-paluch and https://paluchlab.uk Fixed-term: The funds for this post are available for 2 years in the first instance. To apply online for this vacancy and to
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. On-site secure parking All applications must be made via our website: https://www.crukscotlandinstitute.ac.uk/careers/scientific-officers.html Closing Date: 24th April 2026.
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at University of Cambridge. There will be ample opportunity to learn new techniques and refine existing ones. The ideal candidate should have a PhD in a relevant subject (or due to complete a PhD within 6 months
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the synaptic wiring diagram, or connectome, of whole brains, designing, building and using machine learning approaches to computer vision as applied to volume electron microscopy of whole brains. The ideal