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through cutting-edge research. The Nath Lab is seeking highly motivated applicants for a postdoctoral position in computational oncology, artificial intelligence, and data science. Our research program
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diseases using deep learning & high resolution remote sensing data Faculty in Stanford Medicine are seeking to appoint a Postdoctoral Research Fellow to join a project developing and validating deep
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monitoring data. The successful candidate will work on projects involving the analysis of physiologic waveforms collected from neonatal, pediatric, and/or adult patients in clinical care settings. These
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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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, biomedical data science, artificial intelligence, genetics, imaging, and multi-omics discovery. The fellow will help develop and apply computational approaches to study heart failure mechanisms and
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Office of Postdoctoral Affairs. The FY27 minimum is $79, 056. Big Data Scientist Training Enhancement Program (BD-STEP) at VA Palo Alto Health Care System Competitively selected Stanford postdoctoral
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engineers working in a developing research site in coastal Eastern Indonesia. Data collection pipelines in place to understand heat exposure and stress include temperature/humidity sensors, wearable devices
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: · Perform collaborative research with multiple faculty members at ARDMRI on projects involving genomics data analysis using single cell RNA-seq, CHIP-seq/ATAC-seq, spatial transcriptomics
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machine learning, reduced-order modeling, or data-driven modeling of physical systems. You will conduct research on the development of fast, trustworthy, and data-efficient surrogate models that
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with clinicians, engineers, researchers, and industry partners to transform multimodal health data—including wearable and sensor data, medical images and video, speech, human movement, physiological