65 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" positions at Nature Careers in United Kingdom
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ubiquitylation (http://www.ppu.mrc.ac.uk/). Many world-leading researchers in the field of signal transduction have trained within the MRC PPU. The major aims of the MRC PPU are to advance understanding
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to employee benefit schemes with discounts on supermarkets, cinema, travel and much more. On-site secure parking All applications must be made via our website: https://www.crukscotlandinstitute.ac.uk/careers
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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: January 30th (applications reviewed on a
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be found in the candidate brochure via https://wittkieffer.com/positions/38286 Enquiries can be made, in confidence, to Jamie Cumming-Wesley orNatalie Derry at WittKieffer. Completed applications
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Full time, fixed term role based at our Hammersmith Campus. If you require any further details on the role, please contact: Dr Ben Jones - ben.jones@imperial.ac.uk Apply: https://www.imperial.ac.uk/jobs
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and clathrin (PMID: 29921601 and BioRxiv https://doi.org/10.1101/2025.08.20.671218). Septins act as a restriction factor that suppresses viral release from the cell, while clathrin enhances viral spread
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including support towards role-related qualifications. Further information about the benefits available can be found at http://www.discover.ukri.org/benefits-of-working-at-ukri. The LMB is a world-class
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, plant transformation, plant breeding, computer vision assisted automated phenotyping, machine learning and AI. The role will require working with other institutional stakeholders to scope, design, equip
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for early-stage cancer using statistics and/or machine learning (including deep learning where appropriate). You will join a vibrant and growing research group of 12 scientists (six postdoctoral researchers
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of emerging methods in metabolic analysis, metabolic modelling, machine learning, and data-driven biology, identifying opportunities to apply new tools to accelerate discovery. Work closely with experimental