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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 5 days ago
estimation, forest fuels, or foundation model/self-supervised methods is especially valuable. The position offers the opportunity to lead peer-reviewed publications aligned with the project’s research
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employ skills in graphic design, mixed methods research, and scientific communication. Northeastern’s Roux Institute offers an academic research environment combined with access to end-users who bring real
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simulations on the Aurora supercomputer, using AMReX (https://amrex-codes.github.io/amrex/ ) and the lattice Boltzmann method (LBM). The candidate will develop flow/geometry-aware refinement strategies that go
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addition to salary, our Total Rewards benefits and Compensation Estimator give you a clear view of the complete package. The Disaster Research Center at the University of Delaware is recruiting a postdoctoral
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Position Description The School of Physics (https://physics.gatech.edu/ ) at the Georgia Institute of Technology in Atlanta, Georgia invites applications for a Postdoctoral Fellow position in Artificial
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(https://www.hsph.harvard.edu/lin-lab/ ), Professor of Biostatistics and Professor of Statistics. The postdoctoral fellow will develop and apply statistical, machine learning (ML), and AI methods
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Position overview Position title: Postdoctoral Scholar Employee Salary range: A reasonable salary range estimate for this position is $69,073 - $71,632. The posted UC academic salary scales (https
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on reinforcement learning to optimize cooling and trapping parameters using real-time feedback for the Rydberg atom experimental platform. Enhance holographic methods for optical tweezers with generative models and
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on extending methods for detecting the pose of an object (possibly occluded, even if only partially) held by a person to 360-degree robot vision, in line with mesh detection and biomechanical variables
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, or robot perception. Strong programming skills in Python and/or C++, with experience in robotic software frameworks (e.g., ROS/ROS2). Experience with machine learning or computer vision methods, preferably