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processing, or statistical machine learning. Interest in working with speech and audio datasets, detector models, generative audio models, and experimental evaluation. Motivation to publish scientific articles
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parameterizations. Job Requirements REQUIRED: PhD in geosciences, statistics, physics, engineering, or a related field at the time of the appointment; PREFERRED: Strong background in fluid dynamics, turbulence, and
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information, please visit our Benefits Page. (Note: For Postdoctoral benefits, please see our Postdoctoral Benefits page.) CAMPUS SECURITY CRIME STATISTICS Pursuant to the Jeanne Clery Disclosure of Campus
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 3 months ago
, engineering, atmospheric or oceanic sciences, physics, statistics, or a related field by the date of hire; expertise in at least one relevant domain area (e.g. Energy, economics, climate, water, land
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systems, engineering, atmospheric or oceanic sciences, physics, statistics, or a related field by the date of hire; expertise in at least one relevant domain area (e.g. Energy, economics, climate, water
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appropriate statistical methods, contribute to scientific publications, project reports, presentations and other communication of research results, participate in project meetings and collaborate with academic
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, functional, and nutritional characterization, and their application in diverse food systems. The fellow will also contribute to the design, execution, and optimization of experiments using statistical
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National Energy Technology Laboratory (NETL) | Morgantown, West Virginia | United States | about 2 hours ago
Statistics (11 ) Physics (16 ) Science & Engineering-related (2 ) Social and Behavioral Sciences (29 ) Age: Must be 18 years of age Affirmation I certify at the time of application that I meet at least
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Engineering and production optimization Documented mathematical, analytical and problem-solving skills. Good knowledge of statistics, AI/ML, and mathematical modeling and programming. Good knowledge in academic
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position focused on advancing crop production and physiology through field experimentation, computation (statistics and machine learning), and process-based models. The successful candidate will have an