88 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at Stanford University
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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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embryos This Human Frontier Science Program (HFSP) (link is external) funded project is in collaboration with the labs of Hervé Turlier (CIRB-CNRS) and Chema Martin (Queen Mary University of London). We
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independent postdoctoral scholar with a clear vision of scientific investigation that falls within the lab’s mission. Our Division of Infectious Diseases and Geographic Medicine encompasses all aspects
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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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federally funded, interdisciplinary research program focused on improving healthcare delivery by studying and intervening in the human systems that support it. Based in the HEAL and Kim Labs at Stanford
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. The FY25 minimum is $76,383. We have an opening for a full-time postdoctoral fellow in the laboratory of Wendy Liu, MD, PhD in the Department of Ophthalmology at Stanford University to conduct collaborative
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Cancer Registry, as part of the national SEER registries. The postdoc fellow will work closely with statisticians, computer scientists, oncologists, and epidemiologists in the lab and other collaborating
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sequence programming (ex: Pulseq) Python, MatLab, C++, etc PyTorch, TensorFlow ML Ops Required Qualifications: MD, PhD, or equivalent Technical interest & expertise in MRI Required Application Materials: CV
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nano-mechanics, and machine learning as it applies to the field of computational mechanics. Candidates will be given opportunities to develop their teaching experience by designing and teaching a class
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Affairs. The FY25 minimum is $76,383. Our postdoctoral research fellowship program is dedicated to preparing scholars for an academic career in the domains of pediatric perioperative, pain, sleep, and/or