88 cloud-computing-"https:" "https:" "https:" "https:" "https:" "St" positions at Nature Careers in United Kingdom
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programme, with St Andrews, promoting general-ism alongside secondary care exposure, ensuring to place patients at the centre of the students’ learning. Graduation of the first cohort is anticipated in 2028
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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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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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(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
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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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environment Access to and training in key advanced technologies, for example imaging and in vivo modelling A mentor enabling scheme to aid personal and professional development A rich programme of scientific
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of Dr William Schafer at the MRC Laboratory of Molecular Biology (LMB), Cambridge, to work within a programme aimed at mapping and analysing the structure of the hatchling octopus brain connectome
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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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the interface of computational biology, molecular science and translational medicine, generating large multi-omic datasets that require robust, reproducible analysis to identify rare signals with high accuracy