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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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> 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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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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(or similar ‘omics analysis and/or statistical background), to work on our NIH R01-funded project “APOE4-dependent regulation of CSF Comple ment Pathway Activation in the Development of Alzheimer’s Disease
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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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ranked among country’s top 10 medical schools and is located in Durham, North Carolina. Position Description: The overall goal of this position to develop new statistical for analyzing and interpreting
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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