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external) Candidates from a diverse background are encouraged to apply. The applicant may hold a PhD either in physical sciences/engineering with a strong interest in translational research and motivation
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for teachers and school leaders to implement evidence-based decision making. This position will involve collaborative work with a team of researchers, engineers and partnership coordinators on building out
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technology and b) large-scale data collection in a diverse sample spanning over 250 schools across 30 states to answer three significant questions regarding the mechanisms of word reading difficulties such as
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decisions are made under pressure, and how technology can support (rather than hinder) patient care. The postdoctoral scholar will use modern data science tools and cloud computing to analyze high-dimensional
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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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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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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