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Job DescriptionPosition: Postdoctoral FellowTopic: Reinforcement Learning for Vortical Flow Control and Sensing. Requirements: 1) Age under 35. 2) Ph.D. degree (obtained or about to obtain) in
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Job DescriptionPosition: Postdoctoral FellowTopic: Reinforcement Learning for Vortical Flow Control and Sensing. Requirements: 1) Age under 35. 2) Ph.D. degree (obtained or about to obtain) in
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Ion Physics Nuclear Physics / Lattice QCD Lattice Field Theory Machine Learning / Machine Learning lattice gauge theory (more...) High Energy Physics / Theoretical Particle Physics Appl Deadline
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Technology, a postdoctoral research station in Computer Science and Technology, a national key nurturing discipline in Computer Software and Theory, the Ministry of Education’s Key Laboratory of Cyber-Physical
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researchers in pursuit of advancing knowledge and making significant contributions to their respective fields. ESSENTIAL QUALIFICATIONS/EXPERIENCES PhD Graduation; Strong background in deep learning, machine
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, separation, and catalysis, with a focus on carbon capture and conversion technologies. Artificial Intelligence: Leveraging AI and machine learning to optimize material design and catalysis processes. Carbon
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particle physics or related areas prior to the time of employment. Preferences will be given to those with experiences in collider phenomenology, machine learning, effective field theories, positivity bounds
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mathematics. These positions offer excellent interdisciplinary training possibilities in scientific computing, stochastic modeling, perturbation theory, statistics, and machine learning (applied to image and