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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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electroencephalographic (EEG) signals, which capture the brain's neuroelectrical activities. The research will employ both conventional biosignal processing techniques and AI/machine learning methods to characterize
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individuals with a strong background in AI, machine learning, and deep learning, who are passionate about tackling current health research challenges. Essential qualifications include: A solid understanding of
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stories drives innovation and employee engagement. Learn more about AIR's Diversity, Equity, and Inclusion Strategy and hear from our staff by clicking here . The responsibilities for the position include
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geothermal resources, reservoir modeling, techno-economic analysis and machine learning implementation, and other emerging geothermal energy-related topics. The selectee will be expected to develop funding and
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include, but are not limited to: 1. Develop operational image analysis and machine learning algorithms, formulate and design research questions and studies, interpret complex data, and publish results in
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. Work in the group involves using machine learning and omics data analysis to gain insights into biological systems, including cancer cell plasticity, immune response, and pattern formation in development
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data according to the data policy of the lab and institution. Candidates must be willing to learn new techniques and be responsible, self-motivated, a good communicator, and possess strong organizational
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About Us Are you ready to join a community leading in innovative teaching and learning? Kennesaw State University is one of the 50 largest public institutions in the country. With our growing
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Leave Yes Sick Leave Yes Position Description Advertised Job Summary Perform research and development of numerical computing, reduced order modeling, data analytics, signal processing, machine learning