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and aggression, using optogenetics, in vivo imaging, electrophysiology, and sophisticated machine learning/artificial intelligence analyses of mouse behavior. All projects have translational components
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from varied sources, and machine learning methodologies Required Application Materials: 1. A cover letter describing: a. Your interest in this position b. Your relevant training and experience c. Your
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, biologics, and cannabis. Apply statistical and machine learning approaches (e.g., sequence analysis, latent class analysis, clustering) to examine medication use trajectories and patient subgroups
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. Required Qualifications: Doctoral degree (PhD) conferred by start date Demonstrated experience with analysis of large health databases Training and experience in machine learning and deep learning methods
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focuses on translational research at the intersection of bioelectronics, healthcare-focused nanofabrication, and emerging applications of machine learning in radiology. Our team operates within a state-of
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will be determined based on factors including (but not limited to) the qualifications of the selected candidate, budget availability, and internal equity. Pay Range: $86,100 Aligning Machine Learning
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have experience in the main areas of application - functional or single cell genomics and/or statistical genetics -- as well as strong experience in modern computational statistics and machine learning
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students in H&S engage in inspirational teaching, learning, and research every day. DEPARTMENT DESCRIPTION: The Department of Classics is one of the founding departments at Stanford. The department is
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, influence the present, and shape the future. Together, faculty and students in H&S engage in inspirational teaching, learning, and research every day. DEPARTMENT DESCRIPTION: The Department of Classics is one
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strong, demonstrated interest to conduct academic research in a relevant field Interest in legal research Interest in causal inference and social science Experience with machine learning / deep learning