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, quantitative sensory testing, ecological momentary assessment, actigraphy, and electronic mediation adherence technologies. An additional key pillar of the fellowship is to provide proficiency in handling and
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affecting ocean health. We conceptualize shipwrecks as a global ‘ecological’ phenomenon, applying the principles of ‘ocean health’ to their impacts on ocean systems. The Seetah Lab, Stanford University, seeks
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transmission modeling, statistical modeling, spatial data analysis, and cost-effectiveness analysis. In parallel, we conduct research on vaccine-preventable infections, developing and evaluating predictive
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, food security, sustainable agriculture, agroecology, and global health. Excellent oral and written English-language communication skills. Highly motivated self-starter with the ability to work
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: Familiarity with (NGS related) software tools and packages such as bwa, STAR, bedtools, samtools, Picard, RSEM, GISTIC, GATK, Strelka, Seurat Prior experience in analyzing spatial transcriptomic data. Prior
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Collaboration on Ecological Neuroscience (SCENE) https://www.simonsfoundation.org/neuroscience/simons-collaboration-on-ecological-neuroscience/ (link is external) SCENE is a 10‑year, USD 80 million initiative
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of extracellular vesicles (EVs) in modulating immune responses. Key Responsibilities: Design and execute experiments using a variety of techniques, including flow cytometry, CyTOF, spatial proteomics, cell culture
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monitoring, ecological momentary assessment, mHealth, social media, and telemedicine) Data science for preventive medicine using biobanks, electronic health records, AI, and multi-omics Research methodology
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or involved in RAPID surveys. This project constitutes a critical component of the New Ecology of Early Childhood (link is external) being developed at SCEC. Key Responsibilities: Conduct statistical analyses
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community at Stanford looking at the health impacts of environmental changes. The successful candidate will have strong data skills, including experience handling complex data structures, working with spatial