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probes. The postdoc will play a key role in designing and optimizing imaging devices, integrating hardware and software, and collaborating with a multidisciplinary team of clinicians, engineers, and basic
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programming, probability theory, and statistical analysis of large datasets using R or Python. A successful candidate should have a Ph.D. in Operations Research, Electrical Engineering, or Industrial
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Posted on Tue, 02/18/2025 - 15:23 Important Info Deprecated / Faculty Sponsor (Last, First Name): Lepech, Michael Stanford Departments and Centers: Civil and Environmental Engineering Postdoc
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and machine learning based software to assist clinical workflow and pre-clinical studies. Recent software developed from the group has been adopted in the clinic and preclinic labs. The scientific
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external) and CARE AI High School Summer Program (link is external) : Would be able to participate in a mentorship and teaching/lecturing capacity for AI related project themes. Support the center’s efforts
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and groups of students and lead them towards successful research results. The fellow will also give guest lectures in Stanford courses as well as presentations and demos to visitors and affiliates
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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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skills in statistical software (e.g. R, Stata, Python) and working knowledge in SQL Excellent written and oral communication skills Strong record of distinguished scholarly achievement, including written
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and atomic-level assembly of cell walls, extracellular structures, and are constructing blueprints of how bacteria use these building blocks to engineer organized and dynamic architectures. We
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in Neuroscience, Biomedical Engineering, Computational Biology, or a related field. Strong background in signal processing, including neuroimaging and/or electrophysiology (EEG, MEG) data analysis