26 high-performance-quantum-computing-"https:"-"https:"-"https:" research jobs at Villanova University
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be able to design a hardware accelerator for important components of a quantum resistant cryptographic algorithm. Basic requirements: knowledge of computer design and programming languages such as
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machine learning models to integrate real-time monitoring data. Collaborate with colleagues in computer science and computer engineering to develop models. Contribute to the dissemination of research
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2-year appointment, renewed annually under the condition of satisfactory performance and continued mutual interest. Villanova is a Catholic university sponsored by the Augustinian Order. Diversity and
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the reduction, analysis and scientific interpretation of archival data from the High Angular Resolution Wide-Field Imager+ (HAWC+), which operated on SOFIA (NASA’s Stratospheric Observatory for Infrared
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understand, respect and can contribute to the University’s mission and values. Duties and Responsibilities: The successful candidate will: Conduct research on GSI maintenance and performance by installing and
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marsh ecosystems. The students will participate in field work in tidal marshes and estuaries and will perform laboratory analyses including gamma counting of soils, soil carbon measurements, and data
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develop a research plan for the semester in coordination with Dr. Rodriguez Rivera. Students are expected to perform experiments, analyze data, contribute to peer-reviewed articles, and provide short weekly
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analysis, and/or computer modeling. The undergraduate research assistant would work with a graduate student, research professor, and/or professor to complete both lab and field work to support stormwater
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-Electrical and Computer Engineering Contact Name: Dr. Pritpal Singh Contact Phone/Extension: 4970 Position Summary Information Job Description Summary: The students will make current-voltage measurements and
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Position Summary: The postdoctoral researcher will be part of a research team working on the design of energy and exergy flow systems at district scale to assess their efficiency and resilience under heat