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Position Description The Institute for Physical Artificial Intelligence (IPAI) invites applications from exceptional scientists for its IPAI Research Fellows program to work with world-leading researchers in
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 3 hours ago
Massachusetts Institute of Technology, Schwarzman College of Computing Position ID: Massachusetts Institute of Technology -Schwarzman College of Computing -MULTIAI [#30426] Position Title: Position
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Princeton University invites applications for the Future Faculty in the Physical Sciences (FFPS) Fellowship (https://futurefaculty.princeton.edu/). We seek to attract a diverse cohort of early
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 3 hours ago
Science and Engineering, Music, or Physics. Each fellow in the program will have a faculty mentor in the research area as well as in AI. A key aspect of the program, and of the candidate selection process
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to computational modeling, simulations, and advanced data analytics for scientific discovery in materials science, biology, astronomy, environmental science, energy, particle physics, genomics, and other scientific
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regular meetings with the research group. Ph.D. in Electrical Engineering, Computer Engineering, Computer Science, or a related field. Proven experience working with LiDAR sensors, point cloud data
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that machine learning applications are developed with ethical considerations in mind. Participate in regular meetings with the research group. Required Qualifications* Ph.D. in Electrical Engineering, Computer
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, machine learning or AI to computational modeling, simulations, and advanced data analytics for scientific discovery in materials science, biology, astronomy, environmental science, energy, particle physics
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, physics, computer science and other relevant areas. The duties and expectations of this position include performing research, participating in the preparation of technical reports and papers related
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and Gravitational Physics , Black holes , Computational Astrophysics , Cosmology , Dark Matter , Experimental Astrophysics , Galaxy Formation , High Energy Astrophysics , Numerical Astrophysics