92 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at Stanford University
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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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Posted on Mon, 08/04/2025 - 11:14 Important Info Deprecated / Faculty Sponsor (Last, First Name): Wolak, Frank Stanford Departments and Centers: FSI Program on Energy and Sustainable Development
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, computational approaches, and advanced microscopy. Projects are designed to be tailored to the scholar’s interests, and additional details can be discussed following initial inquiry. About the Lab The Kalbasi Lab
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. Research Themes and Projects: We are an interdisciplinary research team integrating single-cell and spatial genomics, lineage tracing, synaptic proteomics, functional perturbation screening, and machine
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machines that both learn from humans and help humans learn. The postdoctoral fellow will lead a project using AI technologies to support active learning in young children, by empowering them to create
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blockade (Phillips, Matusiak, et al, Nature Communications, 2021). We do research at the forefront of spatial biology and offer training in immunology, human histology, statistics, computer vision, grant
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include, but are not limited to, using the latest computational learning-driven approaches, including computational social science, foundation models and multimodal machine learning, to enhance
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Required Qualifications: PhD in Neuroscience, Bioengineering, Electric Engineering, Computer Science, Physics, or a related field Strong quantitative and analytical skills Experience in either experimental
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Planetary Health (HPH) (link is external) and Project Unleaded (link is external) for an exciting postdoctoral fellowship that contributes to a high-impact global program with a mission to create a
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presentations). Evidence of their contributions to their current research communities. Track record of mentoring more junior scholars. Required Qualifications: PhD in computer science, electrical engineering