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About Us PharosAI offers a unique cancer AI product development ecosystem for drug discovery and clinical applications, democratising access to data, AI models, technologies, and capabilities
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the presence of significant confounding factors Organise large-scale sequence data sets Communicate results at project meetings and conferences Present research outputs, including drafting academic publications
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properties of vibrational sources in large built-up structures, such as cars or airplanes. We will incorporate data from measurements and implement these sources into large-scale structure-borne sound
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About Us PharosAI offers a unique cancer AI product development ecosystem for drug discovery and clinical applications, democratising access to data, AI models, technologies, and capabilities
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responsible for maintaining high quality research procedures and will work as part of the team and liaise with three recruiting sites in setting up the study, monitoring participant recruitment, data collection
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very good working knowledge of statistically packages such as SPSS, AMOS, Stata or R Experience of cleaning, recoding and cataloguing large and complex data sets suitable for time-dependent
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models), clinical data science, and large-scale database analysis (e.g., FinnBrain, NeuroBlu, TriNetX). There will be excellent clinical exposure through psychopharmacology services in Oxford, London
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around the scope for large natural language models to be used to predict community level outcomes and the role of community connectedness Supporting CRESR’s delivery of research contracts by providing data
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Contract Type: Fixed Term - Ends 31/07/2029 Are you interested in marine-focused conservation science? Do you enjoy working as part of a large collaborative team? If so, this may be the role for you
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responsible for maintaining high quality research procedures and will work as part of the team and liaise with three recruiting sites in setting up the study, monitoring participant recruitment, data collection