10 artificial-intelligence Postdoctoral positions at Stanford University in United States
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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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Digital Economy Lab Human-Centered Artificial Intelligence Computer Science Postdoc Appointment Term: 2 years Appointment Start Date: ASAP Group or Departmental Website: https://digitaleconomy.stanford.edu
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Posted on Tue, 03/04/2025 - 15:24 Important Info Deprecated / Faculty Sponsor (Last, First Name): Vitercik, Ellen Stanford Departments and Centers: Human-Centered Artificial Intelligence Postdoc
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Posted on Tue, 03/04/2025 - 14:55 Important Info Deprecated / Faculty Sponsor (Last, First Name): Kochenderfer, Mykel Stanford Departments and Centers: Human-Centered Artificial Intelligence Postdoc
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understanding of neuroscience but also advanced technical expertise in machine learning, artificial intelligence, and data modeling approaches. Responsibilities: Conduct research on the mechanisms underlying
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patients and established pipelines for data pre-processing, analysis, and integration (Good et al. Nat Med 2022; In Preparation). We now seek to build generative artificial intelligence (AI) models
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Health Platform, advancing interdisciplinary research at the intersection of artificial intelligence, bioinformatics, and equity in Asian health research. Various projects may include: Contribute
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. Guolan Lu in the Department of Urology at Stanford University School of Medicine. The Lu Lab develops and integrates cutting-edge technologies in biomedical imaging, artificial intelligence, and spatial
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endocrinology services. Finally, we have projects evaluating opportunities to improve diagnosis and management of oculoplastic disease using artificial intelligence and opportunities to expand the reach of eye
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disparities in care. Methods include artificial intelligence approaches for analyzing electronic health records data, quality improvement methodology, engagement of and collaboration with community stakeholders