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The innovative and growing radio frequency (RF) and Microwave group at Villanova University is looking for an initiative-taking, enthusiastic researcher in machine learning (ML) and artificial
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frequent interruptions. Quick learning skills to work in a fast-paced environment. Specific Job Knowledge (e.g., knowledge of principles and procedures related to field and area). Knowledge of principles and
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diverse subjects. The research project focuses on the interdisciplinary realm of geosciences, utilizing its unique characteristics to foster integrated learning. Through the creation of an immersive Virtual
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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
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will join Andrej Prsa’s research team and work on the PHOEBE code , advancing our understanding of the processes in contact binary stars. In parallel, the applicant will be given an opportunity to teach
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frequent interruptions Quick learning skills to work in a fast-paced environment. Specific Job Knowledge (e.g., knowledge of principles and procedures related to field and area) Knowledge of principles and
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) and will have opportunities to supervise student research. In addition, the Fellow will teach a laboratory science course for non-science-majors on “Neuroscience of Sleep” and develop undergraduate
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for Radar for Indoor Monitoring. Student will learn how to operate equipment in the Radar Imaging Lab, along with other administrative work for the program/center. Requirements: Additional Information
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; successful PhD thesis defense with pending graduation will be considered Experience with theoretical modelling and data analysis using Machine Learning is required. Preferred Qualifications: Physical
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/or assembly of experimental apparatus, systems, and instrumentation Set up instrumentation with control software Acquire data from apparatus and systems Create simulation models and perform simulation