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The Mathematics and Computer Science Division (MCS) at Argonne National Laboratory is seeking a Postdoctoral Appointee to conduct cutting-edge research in scientific machine learning, focusing
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. The successful candidate will be joining the Quantum Optics Theory group led by Prof. Dr. Maciej Lewenstein. The successful candidate will work on Machine Learning research. Share this opening! Use the following
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 8 hours ago
equipment, etc.) Social, cultural and sports events and activities Access to vocational training Complementary health insurance under conditions 2788€ gross salary / month Selection process Applications must
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Applied Mathematics, Computer Science, or Theoretical Physics (at the time of appointment). Background in machine learning theory or in one or more of: high-dimensional probability, random matrix theory
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the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Post-doctoral Position in Machine Learning
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positions in High-performance computation and machine learning, Chemical Physics, Physical Chemistry, Nano-science, Biophysics, Statistical Physics and Complex Systems. The positions are normally for one year
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National Aeronautics and Space Administration (NASA) | Cleveland, Ohio | United States | about 3 hours ago
such as electrical power. Recent advances in machine learning present new opportunities to enhance the level of fault management and control in NASA's future power system applications. This work aims to
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, United States of America [map ] Subject Areas: Computer Science Mathematics / applied mathmetics , Mathematical Sciences , Partial Differential Equations , Statistics Machine Learning Appl Deadline: none (posted 2025/08
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in machine learning and/or computer security and Experience working with LLMs or agent-based systems. Informal enquiries may be addressed to adel.bibi@eng.ox.ac.uk For more information about working at
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-of-the-art computational resources and the LtU-ILI pipeline—a comprehensive framework for cutting-edge machine learning inference in astrophysics. Professor Wandelt is an internationally recognized cosmologist