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California State University, Long Beach | Long Beach, California | United States | about 5 hours ago
of the University, and to offer our students a rich variety of expertise, perspectives, and ways of knowing and learning. The Department of Computer Engineering and Computer Science (CECS ) at California State
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at: https://www.umu.se/en/department-of-computing-science/ Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data driven models
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and experience using geographic information systems software are also required. Knowledge of Git is a plus. The successful candidate must be willing to learn new methods as needed and have the ability
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combine density functional theory (DFT), molecular simulations, and machine-learning force field (ML-FF) development to uncover the factors controlling NHC–surface interactions and to model realistic
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and machine learning techniques for the design of superconducting qubits, one of the leading qubit modalities used in today’s quantum computers. The optimal design of superconducting qubits is a highly
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algorithm. Basic principles of mathematical optimization. Fundamentals of machine learning and deep learning. It will be assessed: Have completed or are currently completing a degree in Data Science and
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or university. Strong communication and listening skills. Computer skills including experience using customer relationship management systems and the ability to learn new systems quickly. Preferred Qualifications
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missions to strengthen current models and provide comparative insights that enhance research conclusions from Hope observations. - Develop Machine Learning methods and run numerical simulations on NYUAD’s
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represented by the United Auto Workers of America (UAW) and information about the collective bargaining agreement is available on the UCOP website. https://ucnet.universityofcalifornia.edu/labor/bargaining
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educator in statistics and/or modern data analysis (including ML/DL). Research scope – expertise in any of the following areas • statistics, data analysis, and information theory, • machine learning, deep