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with GPU-accelerated computation and high-dimensional data analysis. Enthusiasm for applying AI innovations to real biological and medical challenges. Required Application Materials: Cover letter
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experience with analysis of large health databases, such as claims or electronic health record data. Required Application Materials: Curriculum vitae Cover letter describing relevant experiences, interests
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model APIs, cloud computing environments, and R for additional statistical analysis. For decision support prototype development and evaluation, web-based user interface design, human-computer interaction
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paradigms in primates or humans – Theoretical neuroscience, machine learning, or AI • Proficiency in Python, MATLAB, or equivalent data‑analysis frameworks. • A passion for big‑picture questions, open science
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attend seminars and speaker series and will be able to audit courses offered by the GSE to strengthen or expand their analytic skills (via courses offered by the Center for Education Policy Analysis and
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, Outpatient, Carrier, TAF). Develop reproducible code and workflows for data cleaning, linkage, and analysis within Stanford’s secure computing environment. Collaborate with multidisciplinary teams
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processes: The design and implementation of randomized controlled trials, the analysis of administrative data, the analysis of video and audio data, qualitative studies of implementation through interviews
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model. Key responsibilities include: Performing animal surgeries, including intracranial tumor implantation Acquisition and analysis of MRI/MRS data Conducting histological validation and tissue analysis
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Qualifications: PhD or MD/PhD in a field(s) relevant to functional neuroimaging and neuroimaging data analysis. Extensive experience with functional magnetic resonance imaging, including resting fMRI and task fMRI
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MDBs/IFIs Strong publication record Experience working in participatory processes Experience in decision analysis and support processes Teaching experience Experience in geospatial modeling and GIS