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and/or vision science Experience with Javascript, development of web apps and database architecture is a plus but not required Desire to work in a fast paced, collaborative team-science environment
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conferences. Qualifications: PhD in computer science with file systems, GPU architecture experience. Proven ability to articulate research work and findings in peer-reviewed proceedings. Knowledge of systems
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opportunity to engage in cutting-edge interdisciplinary research focused on Construction Robotics, working under the guidance of Dr. Arash Adel, Assistant Professor in the School of Architecture and Associated
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Job Description This position offers a unique opportunity to work on advanced projects at the intersection of AI, machine learning, computer vision, and multimodal learning, focusing on advancing
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excellent teaching. The Department of Applied Mathematics, in the College of Computing, has 15 tenured/tenure-track faculty, and constitutes a vibrant research hub where faculty members conduct research in
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require close collaboration with members of the Neutron Technologies Division, the Neutron Scattering Division and the Computer Science and Mathematics Division, as well as project members from other DOE
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. This will feature integration of technologies such as across generation, storage, and the grid. The postdoc will develop novel AI/ML architectures, training methods and operational strategies for hybrid
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on reliability, security, and resilience of microgrid systems. This includes advanced control system design, modeling and analysis, control architecture design and communication-based control and optimization
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U.S. Department of Energy (DOE) | Washington, District of Columbia | United States | about 2 months ago
or to advance professionally. Preferred Qualifications A Master's or a Doctoral degree in one of the following disciplines: Artificial Intelligence, Computer Architecture and Grids, Computer
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skills to bear as you develop new methods to address scientific and engineering problems, collaborate with leaders in your field and across the laboratory, while working with the world’s fastest computers