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profiles, to identify treatment response patterns, subtypes, and critical intervention windows that reduce Alzheimer's risk Disease (AD) risk. This position will involve applying machine learning, deep
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., transcriptomics, proteomics, metabolomics) and artificial intelligence/machine learning (AI/ML) applications in biomedical research will be considered a strong advantage. Outstanding UA benefits include health
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, Rocscience). Strong quantitative and statistical analysis skills. Strong technical writing and publication skills; ability to prepare manuscripts, reports, and grant proposals. Willingness to learn new methods
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to work on a project at the intersection of deep learning and computer security/privacy, under the direction of Dr. Michael Wu. The project seeks to investigate security and privacy problems in deep
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learning. Demonstrated experience in innovative research. FLSA Exempt Full Time/Part Time Full Time Number of Hours Worked per Week 40 Job FTE 1.0 Work Calendar Fiscal Job Category Research Benefits Eligible
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learning. Demonstrated experience in innovative research. FLSA Exempt Full Time/Part Time Full Time Number of Hours Worked per Week 40 Job FTE 1.0 Work Calendar Fiscal Job Category Research Benefits Eligible
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Associate to join the Artificial Intelligence (AI) & Machine Learning (ML) Lab, under the direction of Dr. Bo Liu. The team is a collaborative partnership between nine Universities across the US led by the
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stabilization using greenhouse growth chambers. Learn and apply integrative multi-omic approaches to investigate the biotic and abiotic roles in VOC transformations belowground. Knowledge, Skills, and Abilities
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innovative work-life programs. For more information about working at the University of Arizona and relocations services, please click here . Duties & Responsibilities Plan and lead experiments. Acquire and
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imbalances. A fundamental understanding of classical Machine Learning Techniques for longitudinal data analysis. An understanding of probability theory and basic frequentist statistical approaches