58 channel-coding-electrical-engineering Postdoctoral positions at Stanford University
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algorithmic performance. For instance, the scheduling problems that an electric grid operator faces will change daily, but not drastically: although demand will vary, the network structure will remain largely
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fleet, and vendor collaboration with GE Healthcare. Personal ideas and collaborations with other groups in the Stanford Radiologic Sciences Lab are encouraged. Current collaborators include Dan Ennis
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computer science, earth systems science, economics, engineering, health policy, political science, and sociology—to pursue policy-relevant research on topics related to international development and poverty
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closely with a multidisciplinary team including physicists, radiation oncologists, biologists, and engineers. Key Responsibilities: Deliver and optimize ultra-high dose rate (FLASH) radiotherapy to small
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Posted on Thu, 09/18/2025 - 15:20 Important Info Other Mentor(s) if Applicable: Professor Jenna Davis and Professor Rishee Jain Stanford Departments and Centers: Civil and Environmental Engineering
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, Computer Science, Biomedical Engineering, or related field. • Demonstrated expertise in at least one of the following: – Large‑scale macaque electrophysiology (ideally Neuropixels) – Cognitive & behavioural
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applications must include the following: - A brief cover letter - A current curriculum vitae - A statement of proposed research - A dissertation abstract or summary - An undergraduate/graduate course proposal
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. Collaborate with an interdisciplinary team of engineers, biologists, and clinicians to interpret model outputs and guide new experiments. Why Join Us: Access to unique, large-scale spatial datasets generated in
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data using econometric techniques; designing and implementing randomized controlled trials. Experience in quantitative methods including prior coding experience (e.g., in STATA or R) and/or in
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to contribute to Dr. Gardner’s current research (link is external) , The fellow will also be expected to support the formation and development of research ideas that will emerge from a new, interdisciplinary