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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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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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. 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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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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> 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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for image analysis Develop statistical models to develop diagnostic criteria and validation of algorithms for analysis of medical data Maintenance of a laboratory notebook and/or other comparable records
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brings together a multidisciplinary team that includes clinical psychology, neuroscience, neurology, cognitive psychology, and statistics to tackle questions about the neural bases of transdiagnostic
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appointments in the Departments of Biostatistics & Bioinformatics and Statistical Science and is a faculty affiliate of Duke AI Health. The appointment is for 2 years, starting October 1, 2023, or a later date
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preferred · Previous experience with analyzing and interpreting statistical data will be preferred · Must possess the knowledge to use citation manager EndNote · Must be able to accurately translate research