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, Industrial Engineering, Computer Science, or Machine Learning. Solid experience with quantitative optimization methods, including (but not limited to) mathematical programming and stochastic dynamic
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have experience to supervise ICP internship students who do AI and deep learning topics. Student type Future Students Faculties and centres Faculty of Science & Engineering Science courses Engineering
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fund research in resources technology and/or critical minerals and to deepen connections with industry. The areas of focus for the Resources Technology and Critical Minerals Trailblazer Program include
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. Additional input in computational aspects and analytical field-theory methods comes from our associated partners at Coventry University, UK, and the National Academy of Sciences of Ukraine in Lviv, Ukraine
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publications, and assisting in organizing and presenting at workshops and conferences; Take relevant courses and training; Participate in the PhD program activities and the intellectual life of the Institute
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disciplines: computer science/engineering or biomedical engineering. You have an excellent academic record of accomplishment. In particular, you have a good command of, and a strong interest in, computer