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Benefits page .) CAMPUS SECURITY CRIME STATISTICS Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a
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Astronomy, Astrophysics, or a closely related field by the time of hire. Candidates should have strong scientific programming skills using modern languages such as Python or C++. Expertise in statistical
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programming skills in modern languages such as Python or C++. Experience in statistical analysis, machine learning, and data-driven modeling applied to large astronomical datasets and time-domain surveys is
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not earlier than 7 years before the year of employment in the project (not including maternity leaves), • Strong MATLAB and/or Python programing skills – signal analysis, statistics, neuronal
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. Independently carry out experiments from start to finish, troubleshoot, and optimize methods. Analyze, interpret, and present complex experimental results, including performing statistical analyses. Understand
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, Statistics, Economics, Psychology, Linguistics, and Sociology. Applicants must submit an up-to-date CV, transcript, three references, and a research statement that clearly articulates their prior research
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National Energy Technology Laboratory (NETL) | Morgantown, West Virginia | United States | about 15 hours ago
necessarily all, of the following: Experience with atomic and laser spectroscopy Optical design and opto-mechanical fabrication experience Statistical data analysis skills Technical paper writing skills Poster
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of Dentistry, Oral & Craniofacial Sciences at King's College London. Our methodological work spans trustworthy AI, multimodal machine learning and statistical signal processing. Our translational work applies
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) Earth and Geosciences (21 ) Engineering (28 ) Environmental and Marine Sciences (14 ) Life Health and Medical Sciences (16 ) Mathematics and Statistics (11 ) Physics (16 ) Science
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of the Autism Diagnostic Observation Schedule-2 (ADOS-2). Experience performing advanced statistical modeling and analysis with longitudinal and multivariate datasets, including multi-level modeling (MLM