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. Required Qualifications: PhD in statistics, economics, computer science, operations research, or related data science fields Strong data science skills, including experience working with large, complex data
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work directly with Alexander Vezeridis, MD, PhD, on active projects and will have the opportunity to contribute to project design and direction. This position is ideal for researchers looking to deepen
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model fairness and model generalizability across multi-institutional electronic health records databases. The researcher will have access to the real-world EHR data from almost 20 sites across
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that, in practice, there is often a wealth of data specific to the application domain that can be leveraged to optimize algorithmic performance. For instance, the scheduling problems that an electric grid
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, both within Stanford University and the Stanford School of Medicine. Required Qualifications: Doctoral degree (PhD, MD, or equivalent) Demonstrated experience with data analyses using Stata, SPSS, or R
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, clinicians, and researchers with research-backed assessments to advance learning, accelerate reading research, promote understanding of learning differences, and foster equitable access to high-quality, data
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for this position include a PhD in Computer Science, Artificial Intelligence, Natural Language Processing, Human-Computer Interaction, or a closely related field. Candidates should have demonstrated expertise in
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Posted on Sat, 11/09/2024 - 11:35 Important Info Faculty Sponsor (Last, First Name): Gardner, Christopher Other Mentor(s) if Applicable: Clarke, Shoa, MD, PhD; Follis, Shawna, PhD, MS; Henriksen
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. The position is fully funded. Required Qualifications: The successful candidate should be highly motivated and hard working, with outstanding past research success and publication history, with an MD, PhD or MD
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Application Materials: Please send your application materials to Adina Fischer, MD, PhD at adinaf@stanford.edu (link sends e-mail) . Does this position pay above the required minimum?: No. The expected base pay