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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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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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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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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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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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, reviewing their work in segmenting and labelling neurons and synapses, and communicating with computer scientists across the discipline divide for effective delivery of high-performance machine learning
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. • Experience with high-performance and cluster computing. • Experience with RAID data storage systems. • Familiar with software tools used for microscopy image processing, such as ImageJ, FIJI, and MATLAB
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Noe Rodriguez at the MRC Laboratory of Molecular Biology (LMB), within a programme aimed at investigating immunity and neuro-immune modulation in infection and cancer. Specifically, to undertake