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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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statistical genetics to uncover the genetic and environmental aetiology of complex traits and diseases using large-scale cohorts and datasets. Our focus spans maternal health, early-life genetics, and how
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be research, data analysis, drafting and publishing research articles, and other scholarly outcomes that arise from a four-year project that uses temporal embeddings of large, heterogeneous scientific
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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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also includes academic research based on large-scale government and enterprise data, focusing on topics such as digital transformation and industry coordination. The postdoc will contribute to empirical
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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
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to do joint end-to-end analysis of a wide range of cosmological datasets, including archival data such as AKARI, DIRBE, FIRAS and Planck, ongoing projects like COMAP, PASIPHAE, Simons Observatory, SPHEREx
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, and will contribute to the international initiative “Antarctic InSync.” For more information, see: https://ic3.uit.no/ . The position is based in the Oceanography Section of the Research Department and
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by Asthma + Lung UK and is an exciting opportunity to work on a project that is a priority area for them. The successful applicant will be leveraging their data science expertise to work on a complex
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for large samples at ESRF ID16A using multislice tomography approaches. You will lead the development of and work with parallelized computer models to simulate how coherent waves travel through materials with