17 data "https:" "https:" "https:" "https:" "Leopold Franzens University Innsbruck" Postdoctoral research jobs at Villanova University
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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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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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high quality publications and participate in generating new ideas and writing. Physical Requirements and/or Unusual Work Hours: Special Message to Applicants: Please submit your applications at: https
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to the University Mission and Enduring Commitments (found here: https://www1.villanova.edu/university/president/about-university.html ). Contact information for at least three references, who will receive a secure
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: The Department of Physics at Villanova University invites applications for a Postdoctoral Research position focused on far-infrared data analysis with Prof. David Chuss. This is a grant-funded position and is
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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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(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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: 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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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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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