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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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We are seeking to appoint a 3-year Research Fellow within the School of Mathematical Sciences at the University of Southampton in the research programme “Mathematical Foundations of Intelligence
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at the Laboratory of Cyber-Physical Control Systems and Robotics (C2SR), SYSTEC Research Center, Department of Electrical and Computer Engineering, Faculty of Engineering, University of Porto, under the scientific
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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
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expertise in at least one (or more) of the following areas: Computer Architecture/Systems: Design, modeling, simulation, and/or physical design of heterogeneous system/processor architectures; Silicon
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Department: SOM KC Internal Medicine - Weight Management ----- KU Weight Management Position Title: Post Doc Fellow - Internal Medicine (Physical Activity & Weight Management) Job Family Group