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group focused on developing creative mass spectrometry (MS)-based strategies, combined with data science, to understand mechanisms of metabolic regulation over protein function in health and disease. We
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The Department of Pediatrics, Division of Rheumatology is seeking a Research Data Analyst 1 to manage and analyze large amounts of information, typically technical or scientific in nature, under the direction
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Postdoctoral Research Fellow with expertise in large language models (LLMs) and electronic phenotyping to join our dynamic team focused on advancing cancer research through innovative data-driven approaches in
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the tensor network simulations using HPC resources for selected case studies. Analyze simulated data and compare directly with RIXS experimental spectra; assist in data interpretation and (if applicable
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Science Lab is seeking a highly-motivated postdoctoral scholar to lead a large-scale, community-based, clinical trial of behavioral treatment for childhood obesity. The Solutions Science Lab designs
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types). Research and synthesize data; interpolate results from large amounts of data, identify trends in data, draw conclusions, develop solutions, present and implement recommendations, and create follow
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-on training in quantitative policy research in economics. You will gain experience in: Working with large-scale and high-dimensional datasets Data construction, including web scraping Spatial analysis (e.g
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disease, including AI-powered tools and new statistical techniques that leverage large datasets, heavy computational capabilities, and/or a robust understanding of biological systems to provide unique
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students in H&S engage in inspirational teaching, learning, and research every day. Stanford Institute for Research in the Social Sciences (IRiSS) Expanding access to novel data sources, the development
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one or more of the following areas is a BIG PLUS: data science (machine learning and AI), cancer biology, animal physiology, organic chemistry, E3-ubiquitin biology, and gene editing. In all cases