103 cloud-computing-"https:" "https:" "https:" "https:" "https:" "https:" "St" "University of St" positions at Nature Careers in United Kingdom
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, undergraduate course delivered jointly by the Universities of St Andrews and Dundee, in collaboration with the University of the Highlands and Islands and NHS Scotland. The programme has a particular focus on
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Scientific Computing Officer Starting Salary £45,869 - £51,547 per annum pro rata Fixed term, 4 years MRC Laboratory of Molecular Biology, Cambridge, UK Applications are invited for the post of
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Programme Leader Track Salary: £63,665 - £76,868 plus London allowances (£5,560) per annum Full-time (36 hours) (Part-time applications welcome) Permanent London, UK The LMS is a vibrant biomedical
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Consortium Programme Manager Contract term: This is a full-time, fixed term (4 years) position on Crick terms and conditions of employment. Reports to: Consortium Lead and Head of Programme
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who can challenge established paradigms, develop new approaches to mineral discovery, and build a globally recognised research programme aligned with the Museum’s Resourcing the Green Economy theme
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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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We have an exciting research opportunity for a Research Assistant / Associate tojoin our team. The post holder will be based at the Cancer Research UK-Scotland Institute (CRUK-SI) in Glasgow https
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scientific programme. In discussion with the Group Leader, you will make significant input into determining the direction of the project within a three-year lifespan. There will be opportunities to present
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About us The UCL Laboratory for Molecular Cell Biology (LMCB, http:/www.ucl.ac.uk/lmcb) is an internationally renowned, multidisciplinary, molecular and cell biology department, located in the heart
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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