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develop digital twin algorithms to assist clinicians in developing treatment plans for patients with chronic diseases. Analyzes complex sensor data, works with a multidisciplinary team to develop health
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, scholarship, and conference presentations. The Postdoctoral Fellow will also learn leadership through research protocols, data management and analysis; preparation of manuscripts, grant proposals, and
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of large data sets. Determining fundamental and technical limits of a measurement, using principles such as the Cramer Rao bound and Fisher information, Gaussian process, Kalman filter, and state estimation
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the requirements for this program unless eligible for an alternative long-term status that does not require company sponsorship Preferred Qualifications: Experience analyzing big data sets using
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materials. In this role, you will develop and apply methods that integrate physics‑guided image correction with intelligent (AI/ML‑enabled) data‑acquisition strategies. Key objectives include (1) implementing
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is engaged in several metabolite discovery campaigns involving mining of large-scale metabolomic datasets to discover novel metabolites associated with human disease, genetics, and dietary exposures
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package development and maintenance in R; record linkage/entity resolution; data privacy techniques; large data processing and high performance computing; advanced causal inference and statistics; computer
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, RedCap). Conduct field monitoring and troubleshoot real-time data collection challenges (e.g., technology, logistics, respondent recruitment). Data Management & Analysis Clean and manage large-scale
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, innovative research and team-based health care delivery. What we want The Postdoctoral Research Associate works with data PET-MRI, EEG, and fMRI data collected from on-going mechanistic clinical trials
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Because of the drastically increasing demand from AI/ML applications, the computing hardware industry has gravitated towards data formats narrower than the IEEE double format that most computational