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limited to) questions of equity, justice, and commuity impact. The position is designed to foster the professional development of recent PhDs—teacher-scholars whose work examines how communication shapes
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aspects of research, conducting field research and development of physics guided machine learning models. The primary project focuses for this Part Time Research position deepening the understanding
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sampling of the parameter space of eclipsing binary observables, most notably photometric data from NASA’s Kepler and TESS missions. In parallel, the applicant will be given an opportunity to teach
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variability of accreting compact sources. Help supervise and mentor students working on related topics. Teach physics, if desired. Minimum Qualifications: PhD (or imminent defense) in Astrophysics, Physics
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will join Andrej Prsa’s research team and work on the PHOEBE code , advancing our understanding of the processes in contact binary stars. In parallel, the applicant will be given an opportunity to teach
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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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successful applicant will join Andrej Prsa’s research team and work on cutting-edge theoretical and observational aspects of binary and multiple stellar populations. In parallel, the applicant will teach
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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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, 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