51 channel-coding-electrical-engineering Postdoctoral research jobs at Stanford University
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with electronic health record (EHR) and/or clinical data. Proficiency in Python, with strong coding and debugging skills. Experience with deep learning frameworks such as PyTorch, JAX, TensorFlow
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autonomy Work with patient electronic health records (EHRs) Interest in equity, bias, and representation in both evaluating the skews of datasets and the implementation of new technology tools
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scientific research on computational linguistics, machine learning, practical applications of human language technology, and interdisciplinary work in computational social science and cognitive science. The
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lab meetings, journal clubs, and collaborations Required Qualifications: M.D. or Ph.D. in Neuroscience, Cancer Biology, Biomedical Engineering, Electrical Engineering, Radiology, or a related field
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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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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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earliest and preferred start dates 2. A current CV 3. A transcript (unofficial is fine) 4. Names, e-mail addresses, and phone numbers of 2-3 references Stanford is an equal opportunity employer and all
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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 Mon, 01/13/2025 - 16:30 Important Info Deprecated / Faculty Sponsor (Last, First Name): Lo, Irene Stanford Departments and Centers: Management Science and Engineering Stanford Impact Lab
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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