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electromagnetic device performance analysis>>>Embedded SystemsResearch focuses on:•Robotics, computer vision, and machine learning/deep learning•Wearable and implantable sensors, biosensors, and tele
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knowledge, tools, methods and creative processes from design, humanities, social sciences, and physical sciences to address real-world challenges. Faculty and students conceptualize, prototype and evaluate
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for this position focused on machine learning (ML). This position offers a unique opportunity to conduct both basic and applied research in collaboration with Brookhaven Lab staff, the Department of Energy (DOE), and
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sessions, in collaboration with research staff, dance instructors, musicians, and imaging center personnel. Manage the process of providing participant incentives, ensuring timely and accurate disbursement
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intensive research (e.g., observations, interviews, surveys, documentation of educators’ perspectives, and documentation of student learning); • Lead IRB processes. • Write peer-reviewed journal articles
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control under high inverter-based resources (IBRs). • Develop and apply artificial intelligence (AI)/machine learning (ML) techniques for power system planning, operation, control, and cybersecurity
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tools. * Familiarity with tensorflow and/or pytorch. * Demonstrated ability to design and implement machine learning techniques and algorithms. * Demonstrated expertise in the Linux computing environment