51 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" uni jobs at Nature Careers in United Kingdom
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and expertise. We provide an excellent learning environment with dedicated education programmes in public engagement with science, education and personal development, and a postdoc training programme
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a full-time post available until 31 March 2028. For further information and details of how to apply, please visit our website https://jobs.quadram.ac.uk or contact the Human Resources team on 01603
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, travel and much more. On-site secure parking All applications must be made via our website at: https://www.crukscotlandinstitute.ac.uk/careers/postdoctoral-fellows.html Closing Date: 8th March 2026
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, please visit: http://www.jobs.cam.ac.uk/job/54121 . Applications must comprise a letter of application (summarising how you would contribute to the Department's teaching and research), a statement of
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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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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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, 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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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
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(e.g. Nextflow) and cloud compute environments (e.g. OCI, AWS, GCP) Familiarity with Bayesian methods, machine learning, or causal inference in the context of biological data Contributions to open-source