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interdisciplinary understanding. While the teaching component is entirely optional, it is offered to provide development and growth in the applicant’s teaching. Finally, the applicant will join the Departmental
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position is 50:50 research and teaching and is designed to foster the professional development of recent Ph.D. recipients on a career path leading to faculty positions. The Fellow will conduct research in
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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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to follow instructions. Able to work well both independently and as part of a team. Has critical thinking and problem solving skills in order to work safely in the lab and develop novel methods. Science or
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, project partners, and the scientific and broader community. They will also prepare manuscripts for submission to referred journals using existing and new data sets. The fellow will pursue additional
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from apparatus and systems Create simulation models and perform simulation of test apparatus and cooling devices and systems using commercial software Participate in weekly meetings and help to prepare
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to conduct research on two interdisciplinary research projects on transportation, environment, and health. The candidate is expected to work on data integration and fusion, develop theoretical and mathematical
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from apparatus and systems Create simulation models and perform simulation of test apparatus and cooling devices and systems using commercial software Participate in weekly meetings and help to prepare
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funding of this project. Supervise and participate in the system assembly and experimentation. Participate in weekly meetings and help to prepare reports and presentations for project sponsor. Minimum