33 data-"https:"-"https:"-"https:"-"https:"-"CNRS"-"CNRS" Postdoctoral positions at Texas A&M University
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, innovative research and team-based health care delivery. What we want The Postdoctoral Research Associate, under general supervision, conducts lab experiments, analyzes and communicates data in the form
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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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Description Here’s a Glimpse of the Job The Postdoctoral Research Associate will lead research on dark matter, neutrinos, gamma rays, and the search for new physics using astroparticle and terrestrial data. In
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information here ! PURPOSE The Postdoctoral Research Associate will conduct advanced research on the integrated analysis and modeling of urban water and environmental systems, focusing on urban stormwater
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plants). The associate will develop rigorous, scalable methods—spanning physics-based and data-driven models—for optimal power flow, demand response of flexible loads, transient/stability-aware dispatch
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visiting scholars, foster intellectual exchange, and mentor talented graduate and undergraduate students. Opportunities to Contribute Research in theoretical high energy physics. Analyze data and publish
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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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of expertise. Assists with the preparation and cleaning of worksite. Analyzes research data and summarizes results. Writes and may contribute to research papers, articles, and publications. Mentoring May assist
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physiological and molecular data. Excellent verbal and written communication skills for high-impact publishing. Attention to detail and a commitment to laboratory safety. Responsibilities Research and Lab
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expertise and a strong publication record utilizing advanced statistical modeling and missing data techniques, specifically multiple imputation. Strong foundational knowledge of pediatric health and clinical