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Engineering, we are seeking a researcher with a strong interest in developing and applying machine‑learning methods for materials design, in particular steel design. The position is part of our growing research
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at a higher education institution. Specific Requirements Experience in programming Matlab, C++; knowledge of machine learning. LanguagesPOLISHLevelExcellent Additional Information Selection process
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, engineering computation, operational research, management science and applied statistics, FinTech, data science and machine learning. There are currently 56 academic staff and about 154 research personnel in
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, including health and life insurance, generous paid leave and retirement programs. To learn more about USC benefits, access the "Working at USC" section on the Applicant Portal at https://uscjobs.sc.edu
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 5 hours ago
learning. Primary Purpose of Organizational Unit Learning how people can eat uniquely! The UNC Nutrition Research Institute (NRI) is an internationally recognized center conducting innovative basic and
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watermarks. Publishing research in leading journals and conferences in speech, audio, and machine learning, and contributing to open-source releases of software, trained models, and reproducible research
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Summary The Department of Electrical and Computer Engineering (ECE) at Ritchie School of Engineering and Computer Science at the University of Denver is looking to hire adjunct instructors to teach a
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https://engineering.ok.ubc.ca/ | Northern British Columbia Fort Nelson, British Columbia | Canada | 10 days ago
integrates foundational and applied courses in engineering, with hands-on learning and immersive experiences for students. To learn more about this program visit the following link: https
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Tech, including PhD programs in Bioinformatics; Quantitative Biosciences (QBioS); Algorithms, Combinatorics, and Optimization (ACO); Computational Science and Engineering (CSE); and Machine Learning (ML
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advanced artificial intelligence models (cellular automata, machine learning) of diffusion processes at high temperatures Performing in-depth microscopic and phase analyses of the oxides formation in