12 data-analytics Postdoctoral positions at Villanova University in Ireland-University-Ranking-2024
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: Postdoctoral Researcher - Electrical and Computer Engineering Position Type: Faculty Location: Villanova, PA Recruitment Type: Internal/External Applicants Work Schedule: full-time/12-months Department: 204
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cooling systems for high density data centers, with emphasis on two-phase cooling systems that involve flow boiling of refrigerants. Research topics span fundamental areas such as flow boiling in
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for Analytical Dynamic Sys Position Summary: Our research team has an immediate opening for a postdoctoral fellow to participate in an exciting project in biomedical modeling and diagnostics, funded by National
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Systems research. Individual will be responsible for all nutrient and metals analytical testing, works with PIs to conduct quality control on data, and maintains data records. Individual ensures that all
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must have: a Ph.D. degree in environmental chemistry, chemical engineering, environmental engineering, polymer engineering, or related fields; experience in using analytical instruments (IC, UPLC, GC/MS
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of the flow systems Data analysis Assisting the PI in publications writing and presentations Participate in weekly meetings and help to prepare reports and presentations for project sponsor Minimum
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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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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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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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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