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Field
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, towards future colliders. Cutting-edge machine learning developments for classical and quantum computational platforms are pursued in the group to benefit particle physics and beyond. Experience Candidates
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Science, or related field; expertise in additive manufacturing, materials design, or AI/ML; strong publication record. Preferred: Experience with TensorFlow, PyTorch, or Scikit-learn; materials characterization
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the learning experience and to integrate a variety of approaches and perspectives into instructional methods and research tools. We are particularly interested in candidates who will develop new opportunities
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-energy impact events using LS-DYNA and other applicable numerical analysis methods/computer simulation codes. Prepare and submit proposals/budgets to acquire new funding. Meet with prospective clients
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field. Experience: At least three years of strong record of research productivity in machine learning and artificial intelligence. Expertise in AI/ML and interests in business and policy applications
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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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information, national origin, race, religion, sex (including pregnancy and pregnancy related conditions), sexual orientation or military status. Duke aspires to create a community built on collaboration
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cybersecurity research. Who you are: You have BS in machine learning, cybersecurity, statistics, or related discipline with ten (10) years of experience; OR MS in the same fields with eight (8) years
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of the four campuses (two in Chicago, one in London, and one in Hong Kong) reflects the architectural traditions of its environs while offering a state-of-the-art learning environment. Chicago Booth is proud
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Assistant positions. The Summer Treatment Program (STP) provides services to children with Attention-Deficit Hyperactivity Disorder (ADHD), Conduct Disorder, Oppositional-Defiant Disorder, learning problems