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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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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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. Minimum Qualifications: The candidate must have strong interest and motivation to perform cutting-edge research in this burgeoning interdisciplinary area. The candidate should have a PhD degree in
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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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. Scott Dietrich. This is a grant-funded position and is subject to continuing based on the availability of funding. The successful candidate will investigate highly interacting electronic states in van der
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reports and presentations for project sponsor. Minimum Qualifications: PhD in Mechanical Engineering required. Experience with hardware development and instrumentation required, as well as experience with
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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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reports and presentations for project sponsor. Minimum Qualifications: PhD in Mechanical Engineering required. Experience with hardware development and instrumentation required, as well as experience with
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engineering, civil and/or environmental engineering or closely related field good organizational and communication skills the ability to work independently and communicate proactively The individual must be
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/MS and Q-TOF-MS); experience in material synthesis, surface functionalization, and characterization (FT-IR, XPS, TEM); a strong track record of refereed journal publications; and the ability to work