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subject to continuing based on the availability of funding. The work will focus on the production of large polarimetric maps from the SOFIA data. The position is planned for two years, with a possible
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transport in urban river systems. This project addresses the growing need for sustainable stormwater solutions by integrating cutting-edge AI technology, real-time monitoring, and data from engineering
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: Bibliography and identification of the energy system components. Theoretical modeling and simulation of the flow systems. Data analysis. Assisting the PI and the sponsor in grant writing for other funding
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LSST. Projects will draw on new and archival observations from optical ground-based (e.g., Zwicky Transient Facility) and satellite (e.g., TESS) observatories, with potential supplementary data from X
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(GSI) systems for urban communities. This project addresses the growing need for sustainable stormwater solutions by integrating cutting-edge AI technology, real-time monitoring, and data from
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Engineering Position Summary: We are seeking a highly motivated and interdisciplinary Doctoral Research Assistant to work with Mechanical Engineering faculty and engineers in the data center industry to create
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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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research focuses including road salts, microplastics/litter, and natural gas extraction in the Marcellus Shale (please see http://goldsmithenvironmental.com for more information on research in the Goldsmith
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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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://jobs.villanova.edu. Application materials should include: Cover letter Curriculum Vitae Academic transcripts Names and contact information for three references Posting Date: 10/30/2025 Closing Date (11:59pm ET