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chain network analysis and geospatial modeling. The successful candidate will have strong data science skills, including experience working with large, complex data from varied sources, and machine
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) signaling. The Huttenhain lab integrates cutting-edge MS-based proteomics, functional genomics, imaging, and other molecular biology techniques to profile the spatiotemporal nature of GPCR signaling networks
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operator faces will change daily, but not drastically: although demand will vary, the network structure will remain largely stable. Thus, there is likely underlying structure linking the problems that arise
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of the selected candidate, budget availability, and internal equity. Pay Range: $73,800-$80,000 The LEarning VAriability NeTwork Exchange (LEVANTE) project seeks a Postdoctoral Scholar to study psychometrics and
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of the post-doc is to study how innovations in AI, especially adaptation of Large Language Models (LLMs) architectures for time-series data, can be used in study of aging, health span, and longevity
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Itai Ashlagi and the Stanford Impact Lab on Equitable Access to Education are seeking a diverse pool of applicants who wish to join a team-based, collaborative community and who value the different
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. At single cell level, how does the same genome give rise to thousands of different cellular phenotypes in the brain? 2. At the tissue level, how do gene networks orchestrate intercellular communication
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to participate in the fellowship's community-building and professional development programs, complete annual progress reports, and meet their faculty advisors annual expectations. Appointment Start Date: September