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-channel electrophysiology •Any prior work in mathematical models of decision-making •Prior work with psychiatric patient populations or the biological mechanisms of mental illness About the Department
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not required as part of this position. Required Qualifications: Strong mathematical background, including expertise in one or more of the following areas: machine learning, statistics, and algorithms
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, mathematics, physics, or a related field. The ideal candidate should demonstrate a record of publications in the area. Strong knowledge in machine learning, statistics and programming skills (R, Python
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Physics / College of Letters & Science - Mathematical, Life, and Physical Sciences / UC Santa Barbara Position overview Salary range: A reasonable estimated full-time rate for this position at 100% time is
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analytics in the areas of health care, social issues, text, and social media, and faculty members have developed key methodologies in data mining, social-network analysis and mathematical optimization
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testing experience can be valuable. Statistics and Mathematics: Machine learning (supervised and unsupervised) methodology and evaluation including discrimination vs. calibration measures and (hyper
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genomics, metabolomics, or microbiome analysis Computer science, particularly machine learning, artificial intelligence, data science, or computational biology Mathematics or statistics, with experience in
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Requisition Id 14798 Overview: As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy of addressing the nation’s most pressing challenges. Our team is made up of over 7,000 dedicated and innovative individuals! Our goal is to create an...
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fields include (but are not limited to) Computer Science, statistics, mathematics, automation, informatics, and Engineering. • Experience in deep learning, machine learning and medical imaging processing
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. Minimum Requirements • PhD in a quantitative field, including physics, neuroscience, mathematics, statistics, computer science, or related fields. • Strong quantitative background including at least some