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on an exciting Wellcome-Trust funded project. The research focuses on decoding neural representations across dynamic brain states through advanced computational analysis of large-scale neural recordings. What you
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neuroscience and data analysis Proficiency in programming (e.g., Python, MATLAB, and similar languages) Experience with large-scale neural network simulations Experience with analysing large-scale neural
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Experience in statistical or scientific programming (ideally R and/or Python) Experience in analyzing large and/or complex datasets Interest in quantifying uncertainties for computer models and/or climate
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, democratising access to data, AI assets, technologies, and capabilities. PharosAI unites large-scale multimodal cancer datasets with AI models through a highly-secure, trusted, federated platform, offering state
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Role We are seeking a highly motivated and experienced computer scientist to lead the analysis and interpretation of multimodal imaging, including spatial transcriptomics, single cell and large-scale
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to analyse datasets Experience in statistical or scientific programming (ideally R and/or Python) Experience in analyzing large and/or complex datasets Interest in quantifying uncertainties for computer models
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symbiosis of cutting-edge AI combined with human support. The successful candidate will partake in the development of personalised, context-sensitive Large Language Models (LLMs) for health coaching. By
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of multimodal imaging, including spatial transcriptomics, single cell and large-scale omics data, digital pathology, using cutting-edge AI and machine learning approaches. You will play a critical role in
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across King’s and beyond. About the role: Provide insights and recommendations to support decision-making and improve business processes. Assess and analyse problems, identify needs, analyse data, and help
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statistics, biostatistics, epidemiology, health data science, or other closely related disciplines. They will bring internationally recognised expertise in statistics and methodological leadership in digital