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bedside monitoring. Required Qualifications: PhD, MD, MD-PhD, or equivalent degree in biomedical engineering, electrical engineering, computer science, data science, applied mathematics, physiology
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high-speed imaging, data acquisition, and complex optical alignment using lasers and advanced detectors. Experience processing dense experimental datasets, image series, or complex spectroscopy using
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health data science. Primary responsibilities Design, implement, and validate predictive models that use imaging data (e.g., CT, MRI, PET) to forecast response to adjuvant treatments. Build end-to
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professional development, including mentoring, grant-writing support, and career planning. Required Qualifications: PhD or MD/PhD in a field(s) relevant to functional neuroimaging and neuroimaging data
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diverse clinical patient sample data. Familiarity with processing and analyzing multi-omics datasets (e.g., metagenomics, metabolomics or proteomics) integrated with clinical pharmacology data. Excellent
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( [email protected] (link sends e-mail) ). Required Qualifications: PhD completed by the appointment start date in computer science, data science, human-computer interaction, psychology, sociology
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directions, design and execute experiments, analyze and interpret data, prepare manuscripts, present research, and contribute to collaborations within the laboratory and across Stanford. Research