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to a platform that supports researchers in understanding and analyzing complex respiratory time-series data. You will merge codebases, implement dedicated data containers, port and optimize signal
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the Smithsonian Institution’s Under Gods project, which marks 250 years since the signing of the Declaration of Independence by spotlighting both the significance and the complexity of religion in US history. A
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accumulate genetic and epigenetic changes that fuel somatic evolution through drift and selection. Over time, these processes turn tissues into molecular mosaics containing competing subclones, often carrying
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Posted on Wed, 10/01/2025 - 00:43 Important Info Faculty Sponsor First name: Ruth Faculty Sponsor Last Name: Huttenhain Stanford Departments and Centers: Molecular and Cellular Physiology Postdoc
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a postdoctoral associate to develop methods and metrics for evaluating how consultation with large language models affects analytical work products and team interaction patterns in complex information
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• Excellent communication skills and ability to work independently Core Technical Skills • Machine learning for time-series or latent-variable models • Signal processing of physiological data (e.g., EMG, EEG
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NIH K-series career development awards, R21 exploratory studies, and foundation-funded proposals, with mentorship from senior faculty. Lead and collaborate on manuscript development and dissemination
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Series, Grand Rounds, Research in Progress Presentations, Relevant Training Workshops, etc. through regular attendance and presentation at least once per year. Will be invited to play an active role in
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pediatric research. What you need to know Salary: Will be commensurate based on the selected hire’s education and experience. Location: College Station, TX Schedule: Full-Time; This position may require work
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responsibilities: Design and develop unsupervised and weakly supervised methods for fault detection and diagnosis in building and HVAC systems. Analyze large-scale, high-dimensional time-series data from building