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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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methods to improve prediction model generalizability, model fairness, and generalizability of fairness across different clinical sites. The researcher will have the opportunity to use machine learning and
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patients. You’ll use cloud computing and modern data science tools to analyze high-dimensional, time-resolved data from clinical environments. You’ll collaborate with faculty in AI, clinical informatics, and
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in NHLBI, NIAMS, and NICHD-funded studies, focusing on the intersection of perioperative pain, sleep, and opioid use. Fellows will be exposed to longitudinal observational, interventional, and
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: Biomedical Informatics Research (BMIR) Ped: Developmental Behavioral Postdoc Appointment Term: A postdoc term is usually 2 years, though this may vary. Appointment Start Date: Funding for this position is
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biology directly at the protein level and to use these tools to study and reverse failure of protein homeostasis under disease conditions. The following projects require your expertise: 1) Dissecting
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): Computer Science or Informatics: Proficiency in programming and software development with a habit for robust unit testing. Our group mainly develops software in a Python + SQL environment with use of large language
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looking for a challenging and rewarding postdoctoral fellowship in pain science, substance use disorders (SUD), or data science? Join the next generation of pain and SUD researchers at Stanford’s Pain
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Posted on Tue, 03/04/2025 - 15:09 Important Info Deprecated / Faculty Sponsor (Last, First Name): Bohg, Jeannette Stanford Departments and Centers: Computer Science Postdoc Appointment Term: 2025
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ideas, writing papers, etc.) and practice (implementation of methods at scale for use in the real world) Ph.D. in quantitative methods for social science (e.g., educational measurement, quantitative