75 software-defined-network-phd Postdoctoral positions at Stanford University in faculty
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Posted on Tue, 05/26/2026 - 15:16 Important Info Faculty Sponsor First name: Michael Faculty Sponsor Last Name: Schumacher, PhD Stanford Departments and Centers: Pediatrics, Gastroenterology
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hazardous process gases. Mentor PhD students and contribute to the coordination of experimental activities across the project. Engage regularly with industrial sponsors, including presenting results, defining
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SPARK program. The laboratory has strong collaborations across Stanford and beyond, providing opportunities for postdoctoral scholars to expand their scientific expertise and collaborative networks
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Posted on Fri, 01/16/2026 - 15:51 Important Info Faculty Sponsor First name: Sohail Faculty Sponsor Last Name: Husain Other Mentor(s) if Applicable: Olivia Tsai, PhD Stanford Departments and Centers
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, immunosuppression and therapeutic response. Required Qualifications: PhD in Cancer Biology, Molecular and Cellular Biology, Genetics, Immunology or Radiobiology Productive record of research and publication Excellent
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the impact of nonpharmaceutical interventions with a well-defined counterfactual using data at the state and county levels from the United States to apply the framework and compare its results to those
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, develop independent lines of inquiry, present at national and international conferences, and collaborate with a multidisciplinary network of investigators. The position provides strong mentorship and career
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such as transformers, self-supervised learning, multimodal learning, generative models, graph neural networks, or foundation models. Experience with structural and/or functional brain modeling. Familiarity
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of computational methods into clinically interpretable tools for bedside monitoring. Required Qualifications: PhD, MD, MD-PhD, or equivalent degree in biomedical engineering, electrical engineering, computer
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. Required Qualifications: PhD in Biomedical/Electrical Engineering, Cognitive Neuroscience, Computational Neuroscience, Computer Science, or a related field. Strong background in neuroimaging/physiological