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the Computer Engineering program . We seek candidates with a research focus on the theoretical foundations and practical applications of advanced machine learning techniques. Emphasis will be given
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Vision Center (CVC, https://www.cvc.uab.cat ) is a center with over 150 persons, working on machine learning and computer vision research for more than 30 years, placed at the Universitat Autònoma de
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programming task within the thematic context of the advertised position: https://www.hpc.uni-wuppertal.de/de/peter-zaspel/challenge-in-bi-molecular-machine-learning/ Employment conditions This is a
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performance data using recommended guidelines and machine learning tools Defining the uncertainty sources Enhancing existing guidelines for full-scale power-speed assessment practice Disseminating research
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package, 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
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mechanics, finite element modeling, and scientific machine learning. The RSE will contribute to the design, implementation, and maintenance of open-source software libraries that integrate phenomenological
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Job Requirement Have relevant competence in the areas of Deep Learning/Computer Vision. The experience in diffusion models is a plus. Have a PhD degree in computer science/engineering or related
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North Carolina Agricultural and Technical State University | Greensboro, North Carolina | United States | about 10 hours ago
education, research, discovery, and innovation. The College houses the departments of Applied Engineering Technology, Biology, Built Environment, Chemistry, Computer Systems Technology, Mathematics
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independently and as part of a team Experience with machine learning and AI applications in engineering is advantageous We regret to inform that only shortlisted candidates will be notified. Hiring Institution
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encouraged to apply. Candidates with experience in the application of AI/ML to structural design are of interest. The ability to teach undergraduate and graduate courses in structural engineering and mechanics