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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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. 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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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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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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platform/poster presentations in conferences/seminars) will be preferred - Previous experience in grant writing will be preferred - Previous experience with analyzing and interpreting statistical data will
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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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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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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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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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bioinformatics area) position is open at Duke University School of Medicine in the lab of Dr. Yi Zhang starting Jan 2024 or later. The ideal candidate will develop novel statistical and machine learning methods