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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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statement of your approaches, experience and philosophy regarding your teaching, learning, and mentoring. Include a detailed list of all courses taught over the years. You will be sent an email with
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research university that provides an accessible, quality education through flexible learning and unparalleled internship opportunities. At UA Little Rock, we prepare our more than 8,900 students to be
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University of Louisville Department of Civil and Environmental Engineering | Louisville, Kentucky | United States | 21 days ago
of hydrologic, sediment, and nutrient transport at variable spatiotemporal scales. Dr. Mahoney’s lab utilizes process-based numerical models, machine learning, and sensing/tracing technologies to investigate
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University of Georgia Warnell School of Forestry and Natural Resources | Athens, Georgia | United States | 2 months ago
-level tracer data into hydrologic models. You are enthusiastic about the outdoors, conducting fieldwork to collect and analyze tracer data from various sites. You are excited and willing to learn about
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of science. Good computer skills including word processing, Excel, PowerPoint, and relevant scientific software. Nice-to-Have Hands-on laboratory experience (excluding college coursework). Protein and
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of science. Good computer skills including word processing, Excel, PowerPoint, and relevant scientific software. N ice-to-Have Hands-on laboratory experience (excluding college coursework). Protein and
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learning, growth and productivity while affording a basic need to its students – a chance to advance. The 15:1 student to teacher ratio makes it possible to maintain a learning environment with close
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Postdoctoral positions in biology are available in the Zhi Tan laboratory at Baylor College of Medicine (Houston, TX), an interdisciplinary group using deep learning, computational chemistry
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of student learning outcomes, and program evaluation Faculty will teach courses in an accelerated format with synchronous and asynchronous components. These courses vary in duration, typically offered in seven