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. Work in the group involves using machine learning and omics data analysis to gain insights into biological systems, including cancer cell plasticity, immune response, and pattern formation in development
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Leave Yes Sick Leave Yes Position Description Advertised Job Summary Perform research and development of numerical computing, reduced order modeling, data analytics, signal processing, machine learning
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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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, or Machine Learning. Experience designing and building autonomous systems/agents. Must have strong programming skills. Must have refereed publications in leading scientific journals. Preferred Qualifications
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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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experience in NLP, AI and Machine Learning, bioinformatics, translational bioinformatics, clinical informatics, clinical research informatics, consumer health informatics, and/or public health informatics are
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Strong interest in pursuing a Ph.D. in a related discipline. Proficiency in programming languages such as Python (Preferred) or R. Experience in data analysis, machine learning, deep learning and
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in the biological sciences domain, and end-to-end experience with data science projects that leverage data mining, statistics, predictive modeling, generative AI, and/or machine learning algorithms
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of this work are to 1) develop a more complete understanding of proteomic changes in postmortem muscle and 2) utilize machine learning techniques to predict fresh meat quality based on proteomic, metabolomic
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. Must be able to operate and work within a collaborative environment and be willing to learn new experimental/analytic techniques. Must also be willing to participate in teaching of graduate course and