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representativeness - Knowledge of software engineering for AI applications - Knowledge of mathematical probability and statistics and optimization methods - Knowledge of machine learning including
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28 Mar 2026 Job Information Organisation/Company ETH Zürich Research Field Biological sciences » Other Chemistry » Other Engineering » Materials engineering Engineering » Other Technology
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28 Mar 2026 Job Information Organisation/Company ETH Zürich Research Field Biological sciences » Other Chemistry » Other Engineering » Materials engineering Engineering » Other Technology
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Summary Assist with online classrooms at graduate and/or undergraduate levels in the Instructional Design & Technology program and/or the Management & Technology major. May participate in
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of Science & Engineering based at the University of Nottingham Ningbo China (UNNC). The School of Computer Science at UNNC is part of the School of Computer Science at the University of Nottingham, UK, which
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Computational Cost by Machine Learning and DFT-Based Data, Journal of Chemical Theory and Computation, 2024, 20 (16), 7287–7299. Funding category: Contrat doctoral PHD Country: France Where to apply Website https
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remains challenging, limiting multiscale imaging approaches in near-field holotomography. To address this, the PhD project combines machine learning, high-performance computing, and synchrotron-radiation
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California State University, San Bernardino | San Bernardino, California | United States | 25 days ago
for the part-time lecturer pool in Computer Science and Computer Engineering at the Part-time Lecturer level. All areas of Computer Science and Computer Engineering will be considered. CSE is seeking visionary
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, engineering, data science, and machine learning. For this position, knowledge of systems and networking is highly desirable. We highly value scientific curiosity and the desire to tackle hard, relevant problems
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reporting, accreditation reviews, and strategic planning initiatives. Recommend improvements and leverage technology to streamline development needs that emerge as the curriculum and student body evolve