10 machine-learning-phd-in-netherland Postdoctoral positions at Villanova University in United-States
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methodologies generally, machine learning techniques, OR complexity analysis/nonlinear dynamics are particularly well-matched to the opportunity, but applicants with theoretical expertise related to compact
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methodologies generally, machine learning techniques, OR complexity analysis/nonlinear dynamics are particularly well-matched to the opportunity, but applicants with theoretical expertise related to compact
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Institutes of Health. The focus is on using concepts and techniques from statistical learning techniques, signal processing, machine learning, information theory and nonlinear dynamics. Villanova is a Catholic
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Qualifications: A PhD in Mechanical Engineering required; successful PhD thesis defense with pending graduation will be considered Experience with theoretical modelling and data analysis using Machine Learning is
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using real-time monitoring systems. Develop AI and machine learning models to integrate real-time monitoring data Collaborate with colleagues in computer science and computer engineering to integrate
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of this project. Participate in weekly meetings and help to prepare reports and presentations for project sponsor. Minimum Qualifications: A PhD in Mechanical Engineering required; successful PhD thesis defense
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, systems, and instrumentation Supervise and participate in the construction and/or assembly of experimental apparatus, systems, and instrumentation Set up instrumentation with control software Acquire data
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, systems, and instrumentation Supervise and participate in the construction and/or assembly of experimental apparatus, systems, and instrumentation Set up instrumentation with control software Acquire data
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of project progress/main findings at meetings, conferences, and workshops. Teaching opportunities can be arranged if the candidate desires. Minimum Qualifications: The successful candidate must have: A PhD
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: Special Message to Applicants: You can learn more about Professor Xu’s work and the research groups’ activity from links below: Google Scholar Faculty Bio The Environmental Interfacial Chemistry (EIC) Group