13 computer-science-programming-languages-"the"-"UCL"-"O.P"-"U"-"PDI-Service" positions at Medical Research Council in United Kingdom
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wrangling Excellent programming skills in R and Python – including use of Jupyter Notebooks and cloud computing resources Advanced knowledge in a range of predictive tasks, clustering techniques and inference
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Information The MRC Laboratory of Medical Sciences (LMS) is a biomedical research institute, with a unique computing environment using Windows, Apple and Linux technologies, where scientists and clinicians
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Kate McDole at the Laboratory of Molecular Biology (LMB), within a programme aimed at morphogenesis of the mammalian embryo. Specifically, to undertake research to investigate how cells coordinate
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of the Microscopes 4 Schools Competition for primary schools. To coordinate the LMB work experience programme, answering student queries, supporting hosts and ensuring safeguarding requirements are adhered
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of the Microscopes 4 Schools Competition for primary schools. To coordinate the LMB work experience programme, answering student queries, supporting hosts and ensuring safeguarding requirements are adhered
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of the Microscopes 4 Schools Competition for primary schools. To coordinate the LMB work experience programme, answering student queries, supporting hosts and ensuring safeguarding requirements are adhered
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transcriptomic technologies. We take a multidisciplinary approach, integrating molecular biology, genomics, computational biology, and systems-level analyses to address fundamental biological questions. The lab
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biology, computational biology approaches Experience in generating high-quality figures for publication Excellent written communication skills in English Desirable: First-author publication or pre-print
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the employment start dates in line with right to work document To regularly update the P&C Business recruitment, onboarding and leavers log To organise the LMS People Induction Programme for all new starters from
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a multidisciplinary approach, integrating molecular biology, genomics, computational biology, and systems-level analyses to address fundamental biological questions. The lab fosters a collaborative