30 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"SciLifeLab" Postdoctoral positions at Texas A&M University in United States
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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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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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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
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methods, molecular biology, and behavioral assays. This position offers the opportunity to lead experiments, analyze data, publish impactful findings, and present at scientific conferences—making it an
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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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employees, for employees Instructions to Applicants: Applications received by Texas A&M University must either have all job application data entered, or a resume attached. Failure to provide all job
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by the Sea by Best College Reviews. Our natural setting is enhanced by its modern, attractive, and state-of-the-art classroom buildings and support facilities. Learn more information here ! PURPOSE
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. Generate novel RNA Nanomedicines. Effective RNA delivery systems. Data Analysis - Collects, compiles, and analyzes data. Documents and interprets results of experiments and report to the Principal
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transformative education, innovative research and team-based health care delivery. What we want The Postdoctoral Research Associate is responsible for conducting lab experiments, analyzing and communicating data
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Computer Science, Electrical Engineering, Computer Engineering, or a related field. Preferred Qualifications Strong publication record in top-tier AI conferences or journals.. Strong written and oral