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Details Title Postdoctoral Fellow, Center for Geographic Analysis (CGA) School Faculty of Arts and Sciences Department/Area Center for Geographic Analysis (CGA) / Institute for Quantitative Social
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. This postdoctoral fellowship in the Arlotta lab involves computational analysis of large, multimodal single-cell datasets, as part of a collaborative project which also aims to generate AI and machine learning models
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multidisciplinary investigators, and establish an independent research direction. As a successful candidate you will: Lead computational analysis of single-cell/single-nucleus RNA-seq, ATAC-seq, and multiome datasets
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, creative, and enthusiastic individual to advance their career by performing impactful, cutting-edge biomedical research that integrates wet-lab experimentation with computational and bioinformatic analysis
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. Applicants for these positions should have a Ph.D. in experimental particle physics. Experience with state-of-the-art detector systems and with the analysis software of a particle physics experiment are
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dependence phenomena for rough scatterers.” This project works lies in the pure/applied mathematics interface and aims to quantify the dependence of scattering properties on energy using semiclassical analysis
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experimental particle physics. Experience with state-of-the-art detector systems and with the analysis software of a particle physics experiment are required. The successful applicants are expected to be
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Scobbie (Queen Margaret University, Scotland). The project focuses on the analysis of vowels before /l/ in New Zealand English. This is a site of multiple potential phonemic mergers and splits, and the
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time for Biology — enormous advances in global genome analysis coupled with unprecedented developments in interdisciplinary research have made the 21st century the Century of Biology. For more
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interview guides, undertake data analysis, coding, and document analysis, and contribute to the development and management of the project's dataset. The role is primarily methodological, providing research