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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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. / - Accelerate aging on UHPH-treated lees and improve the quality of the aged wine.Realizar el tratamiento estadístico de los resultados obtenidos. / Perform statistical analysis of the results obtained.Redacción
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plus, and experience with statistical analysis tools such as R or Python is recommended (successful candidates will be expected to pass a basic programming test in R or Python). Excellent written and
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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
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and procedures. Data/Research Analysis and Evaluation Collect and perform statistical data analysis. Evaluate data to establish relevance to the problem or problems being investigated. Perform basic