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that is production-ready for dissemination to other laboratories and for diagnostic use, and the management of large-scale data. They will join a team of computational and experimental postdoctoral fellows
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large, highly diverse and multi-modal datasets (e.g., images, surveys, statistical and sensor data). Familiarity with geostatistical, GDAL, Python, PostGIS/PostgresSQL, Machine Learning, AI, Internet
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advanced methods to determine and analyse protein structures that underpin enzyme function and redesign. Generate and interpret structural data to inform and validate computational predictions. Publish in
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large, comprehensive, research university and for nearly two decades, has transformed into the “New American University ,” one dedicated to the simultaneous pursuit of excellence, broad access to quality
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advances. The project will develop and apply advanced modelling techniques to high-dimensional clinical and imaging data, delivering real-world applications across the neuro-oncology landscape. Embedded
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their best work. We’re a large organisation with a diverse and talented community doing extraordinary things. Together, we are driven to be thoughtful, practical, and purposeful in all we do. It’s the reason
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6 Nov 2025 Job Information Organisation/Company UNIVERSITY OF SOUTHAMPTON Research Field Biological sciences Researcher Profile First Stage Researcher (R1) Country United Kingdom Application
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of combining data, simulation, and policy to tackle the world’s biggest health problems? The Centre for Health Economics & Policy Innovation (CHEPI) at Imperial Business School is seeking a Research Fellow in
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particularly encouraged to apply; Experience with computational methods and large-scale data analysis is highly desirable; Candidates must be within three years of their PhD degree conferral when
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. Perform data collection, processing, and econometric analysis using large administrative and survey datasets when available. Contribute to drafting research reports, working papers, and academic