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population data will be considered a strong advantage. The ideal candidate is comfortable learning new analytical methods and working with large and complex datasets. Qualification requirements PhD stipends
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reliability. Prospective applicants for this PhD proposal should have the following qualifications: M.Sc. degree in communications engineering, mathematical engineering, electrical engineering, computer
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, spatio-temporal data management, data analytics, and applications of machine learning, with applications in digital energy and intelligent transport. International evaluations place DESS in the global top
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