25 high-performance-quantum-computing-"https:"-"https:"-"https:"-"https:"-"https:" positions at Medical Research Council in United Kingdom
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, structural biology, or biophysics. Technical skills and expertise: Project 1 Experience of and ability to perform techniques relevant to the project. Essential skills for this project: • High level of
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learning methods, and high-performance computing Desirable: Experience with spatial transcriptomics, 3D genome analysis, or epitranscriptomics Experience with multiomic data integration techniques
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useful would be experience of experience in software and hardware design and an interest in neuroscience. Experience with SQL, high-performance computing, signal processing are highly desirable. Track
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optimise in vitro assays (e.g. fluorescence-based, enzymatic, binding) for use in compound screening Work with DDHub to perform high-throughput screening for small-molecule modulators Analyse screening data
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assays (e.g. fluorescence-based, enzymatic, binding) for use in compound screening Work with DDHub to perform high-throughput screening for small-molecule modulators Analyse screening data and characterise
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responsibilities: Establish novel cell systems to study senescence (using primary cells and organoids) relevant for ageing Establish systems to study the interaction between senescence and immune cells Perform
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skills to plan studies across teams, organise workflows and ensure work is completed on time and of high quality. This role is also a critical step in the quality control process, ensuring that day-to-day
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within the group of Suyang Zhang at the MRC Laboratory of Molecular Biology (LMB), within a programme aimed at elucidating the mechanism of transcription-coupled splicing. Specifically, the project aims
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modelling Knowledge of HPC environments, Git and Docker an advantage Main responsibilities: To develop models for high dimensional clustering and prediction tasks using biomedical imaging Perform analyses
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will use computational and imaging approaches to elucidate the genetic and molecular causes of infertility, the impact of aging in male and female fertility, and the effect of metabolism and germline