26 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" research jobs at Villanova University
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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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) training before or upon hire. Completion of Responsible Conduct of Research (RCR) training, as applicable to the role. Proficiency in computer literacy, including the ability to use standard office software
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project Requirements: · Experience using computer systems · Programming and coding an asset · Experience working with H5P, YouTube, MS Office, Adobe Acrobat and asset · 2-4 hours per week for a total of 20
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. Additionally, student will help with data handling and analysis. Requirements: Proficient in Microsoft office products and overall computer usage. Additional Information: Physical Demands Summary: Wage Rate: $15
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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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using real-time monitoring systems. Develop AI and machine learning models to integrate real-time monitoring data Collaborate with colleagues in computer science and computer engineering to integrate
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Computer Engineering Contact Name: Helen Cook Contact Phone/Extension: 610-519-4970 Position Summary Information Job Description Summary: research on electrical and computer engineering topics; Assist with
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of science to non-science majors through the Mendel Science Experience program. The Fellow will teach a laboratory science course for non-science-majors on “Animal Minds” and develop undergraduate
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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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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