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in numerical methods or scientific computing. Familiarity with machine learning techniques applied to engineering problems is a plus. Good communication skills and ability to work independently and
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of aerospace engineering and mechanics in the nation. Detailed Position Information The Department of Aerospace Engineering and Mechanics (AEM: https://aem.eng.ua.edu ) and the College of Engineering (CoE
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field. Must be a current Computer and Information Science graduate student at UM-Dearborn Self-motivation and willingness to learn new applications and the ability to work independently Good communication
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team players and passionate on cutting edge computer vision and machine learning technologies, as well as possess deep understanding of machine learning technology and experience on turning machine
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computational engineering, mathematics, computer science, physics, engineering or a related field Strong background in numerical methods and machine learning Proficiency in at least one programming language
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., computational learning theory, expressiveness of transformers and other models, xAI, formal methods) or equivalent; willingness to conduct research on artificial intelligence/machine learning, combined with
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at large. https://nrc.canada.ca/en/support-technology-innovation/make-your-mark-become-industrial-technology-advisor Screening criteria Applicants must demonstrate within the content
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of solidification science and metal casting are of particular interest and thus are strongly encouraged to apply. Detailed Position Information The Department of Metallurgical and Materials Engineering (MTE: https
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large-scale training of scientific foundation models You will collaborate with researchers across machine learning, scientific computing, materials science, and data engineering, and work with leading
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Serving Institution, Suffolk enrolls thousands of students in English Language Learning courses, and also serves more service veterans and military-connected students than any other college in the SUNY