77 channel-coding-electrical-engineering Postdoctoral positions at Stanford University
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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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for a researcher who’s motivated by improving systems: how clinicians work together, how decisions are made under pressure, and how technology can support (rather than hinder) the people who care for
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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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pathologies. Questions we are interested in studying include: 1) What are the ion channels that mediate pressure sensing in the eye? 2) What physiological roles do these channels play in the eye? 3) Do
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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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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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Posted on Wed, 08/07/2024 - 14:53 Important Info Faculty Sponsor (Last, First Name): Boehm, Alexandria Stanford Departments and Centers: Civil and Environ Engineering Oceans Postdoc Appointment Term
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postdoctoral scholars appointed through the Office of Postdoctoral Affairs. The FY25 minimum is $73,800. The Goodman Surgical Education Center (GSEC) has one open research fellowship position for a current
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technology. The successful candidate will contribute to projects focused on gene therapy applications and the development of innovative viral delivery systems for therapeutic interventions, and genetic
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the Office of Postdoctoral Affairs. The FY25 minimum is $73,800. The Mackall Lab is pleased to offer a Postdoctoral Fellow position with a focus on T cell engineering in the Stanford Center Cancer Cell Therapy