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. Postdoctoral Associate – Division of Cardiology The candidate will be working under the leadership of Dr. Fawaz Alenezi to provide statistical services that include the following: • programming and review of SAS
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of cutting-edge statistical methods and machine learning algorithms inspired by massive healthcare datasets. Key Responsibilities Develop innovative statistical methods and machine learning algorithms
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innovative statistical methods in clinical trial design and variable selection methods in high dimensional data that will predict clinical outcomes and meta-analyses. The successful candidate will collaborate
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in the development of cutting-edge statistical methods and machine learning algorithms inspired by massive healthcare datasets. Key Responsibilities Develop innovative statistical methods and machine
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auditory brain regions. The work is collaborative with Prof. Surya Tokdar (Statistics, Duke University). Our groups recently found evidence that when confronted with two stimuli, neural populations contain
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and Wellness, and multiple affiliations. Position Description: A position is available to develop innovative statistical methods in clinical trial design, variable selection methods in high dimensional
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> Prepare mouse tissue · Analyze samples using quantitative biochemical assays Data analysis (15%) · Collect laboratory results · Analyze data using standard statistical methods < p
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. The Purushothama Rao Tata and Rohit Singh Labs at Duke University Medical Center are seeking a Postdoctoral Associate with expertise in computational and statistical modeling of computational biology. The candidate
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; preparation of images, figures and spreadsheets for data analysis with proper statistical analyses. 3. Communication of research in weekly written reports and lab meeting presentations. 4. Manuscript writing
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(PI: R. Alison Adcock). This project aims to uncover the neural mechanisms of motivation and its regulation using fMRI neurofeedback and advanced statistical modeling. Start dates as soon as available