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Details Posted: 01-Feb-24 Location: Carnegie Mellon University Salary: Open Categories: Academic/Faculty Internal Number: 72426 The Department of Physics at Carnegie Mellon University is seeking a
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, bio-engineering, physics, material, and chemical engineering. The mission is to bring the state-of-the-art machine learning algorithm to mechanical engineering. Core responsibilities include: Developing
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with a PhD in machine learning or a related area who are enthusiastic about collaborating with colleagues in the physical sciences particularly physics, astrophysics, and cosmology. The Simons
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interests, including mechanical, computer science, bio-engineering, physics, material, and chemical engineering. The mission is to bring the state-of-the-art machine learning algorithm to mechanical
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research documentation, such as data files, references, and progress reports. Participate in team meetings and discussions, taking notes and learning from the research process and outcomes. Support the
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. Active research thrusts within the AiPEX lab include AI for complex physics-based modeling and simulation, AI for enhancing human performance and decision making, AI for advancing personalized learning
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the objectives of research projects. This position will require an in-depth knowledge of a specialized field, process, or discipline and may involve organizing and implementing complex research plans
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independent and/or directed research to achieve the objectives of research projects. This position will require an in-depth knowledge of a specialized field, process, or discipline and may involve organizing
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depth knowledge of a specialized field, process, or discipline and may involve organizing and implementing complex research plans, the development of methods of research, testing and data collection
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depth knowledge of a specialized field, process, or discipline and may involve organizing and implementing complex research plans, the development of methods of research, testing and data collection