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Field
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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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fellow. Highly motivated individuals with a PhD in computer science or bioinformatics are encouraged to apply. We create statistical, machine learning, and deep learning approaches for the processing
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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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science, computational sciences, or mathematics is preferred. The successful candidate will need to have completed all PhD requirements by their start date. Knowledge required includes machine learning and statistical
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, specializing in Artificial Intelligence/Machine Learning (AI/ML) - 15 years of experience working with US Air Force (USAF) & Department of Defense (DoD) customers - Proven leadership experience managing teams
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in Growth of Electronic Materials Description: The Department of Electrical and Computer Engineering seeks applications for a postdoctoral or more senior research associate for research in growth
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, and evaluation The ideal candidate will lead their own project, and also collaborate with and support 1-2 PhD students on their projects. The ideal candidate will also be interested in learning
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quantification. You will research and develop frontier analysis methods, including machine-learning approaches, for the accelerated interpretation of x-ray scattering data. You will develop multi-modal data
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along with experience in applying Artificial Intelligence (AI)/Machine Learning tools, OR a PhD in AI/Machine Learning with experience in plasma physics or other strongly coupled physical systems
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-wide in-person events, typically in New York. Basic Qualifications Researchers holding a PhD related to programming languages, artificial intelligence, and machine learning. Researchers with experience