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: ● Extensive tissue culture laboratory experience (at least 1 year) is required. Good laboratory practices and sterile culture techniques are critical. ● Ability to undertake and complete large research projects
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) access have been shifting since 2020, and how state-level child care assistance policies affected ECE access. Research activities of this project include secondary data analyses and manuscript development
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substantial component of the work focuses on large scale empirical research in international macroeconomics and finance. The Global Capital Allocation Project (GCAP) Lab mixes data, economic theory, and
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into tangible products. Critically, this work will generate a large open-source dataset of child-created games that can inform future designs of educational games and AI algorithms. The postdoctoral fellow will
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brain science, learning research, data, and technology, the Stanford Accelerator for Learning works to tackle the most pressing challenges in education today, turning new discoveries into real-world
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external) provides algorithmic and data-driven solutions providing fairer access to public educational resources. The lab enables school districts to optimize large-scale equitable resource allocation
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required. Good laboratory practices are critical. Ability to undertake and complete large research projects and communicate findings to the field as demonstrated by first author publications in respected
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cover letter, CV, a short description of research interests, and contact information of three referees to summer.han@stanford.edu (link sends e-mail) Does this position pay above the required minimum
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projects focused on emergency medicine health services. • Utilize advanced quantitative methods to analyze large healthcare datasets, including Medicare and Medicaid claims data. • Publish findings in high
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traditional 2D geological maps into complex 3D structures by harnessing state-of-the-art data science and machine learning techniques at large scales. The research will use geophysical, geochemical, and