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-world data, with strong programming proficiency in R or Python and version control systems like Git. Familiarity with spatial and statistical libraries (e.g. INLA, PyMC, scikit-learn, GeoPandas). Proven
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/structural biology sample preparation and data collection Proficiency in Linux command line usage and cryo-EM processing software Experience in prokaryotic (E.coli) cell culture Experience in eukaryotic (e.g
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quantitative field * Demonstrated expertise in programming and scripting (e.g. R, Python, Bash) for data processing, integration and visualisation Proven experience developing and using necessary pipelines
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computing. You will join the Vision & Human-Robot Interaction (VHR) Group, which brings together researchers working at the intersection of computer vision, robotics, and assistive technologies. The team is
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Linux command line usage and cryo-EM processing software Experience in prokaryotic (E.coli) cell culture Experience in eukaryotic (e.g HEK293T cells and/or insect cell systems) cell culture Experience in
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Scikit-learn, PyTorch, Openbabel, and RDKit packages. Experience with density functional theory (DFT) calculations. Experience with version control GitHub repositories, and Unix/Linux supercomputing
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with density functional theory (DFT) calculations. Experience with version control GitHub repositories, and Unix/Linux supercomputing environments. Good communication skills, including the ability
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processing, integration and visualisation Proven experience developing and using necessary pipelines for analysis of large-scale bulk and single cell data sets Strong understanding of statistical modelling
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health, focusing on developmental processes. We offer a supportive and collaborative research environment at the Pears Maudsley Centre, with access to extensive neuroimaging, genomic, and clinical datasets
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for an early-career researcher to build a distinctive profile in Big Data analytics, AI as applied to mental health, focusing on developmental processes. We offer a supportive and collaborative research