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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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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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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
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technical experience in various areas related to machine learning, deep learning, clinical pathology, medical image analysis, etc. The initial appointment will be for 1 year, full-time, with opportunities
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involves the development of innovative statistical methods and machine learning algorithms that are motivated from massive healthcare data (e.g., electronic health record data). Areas of particular interest
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. The successful applicant will lead projects developing machine learning approaches, including new statistical approaches to analyze data from new and improved CRISPR systems for the purpose of informing