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to enhance our multidisciplinary research at the intersection of control theory and machine intelligence. Methodologies of interest include: Robot modelling, Nonlinear and Optimal control, Reinforcement
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Posting Details Position Details Title Postdoctoral Position in Lattice Field Theory Appointment Status Non-Tenure Track Department IU Bloomington Physics Location Bloomington Position Summary
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the goal to enhance predictive capability and scalability of multi-scale and multi-physics simulation codes. The prospective postdoctoral appointee will perform multi-physics and multi-scale CFD simulations
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, or whether you have been out of work for a period of time. At NTNU we want to increase the proportion of women in scientific positions. Salary and conditions As a Postdoctoral Fellow (code 1352) you are
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at the intersection of control theory and machine intelligence. Methodologies of interest include: Robot modelling, Nonlinear and Optimal control, Reinforcement learning, and Data-driven modeling and control. The Post
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Details Posted: 30-Mar-25 Location: Princeton, New Jersey Type: Full-time Categories: Other Staff/Administrative Internal Number: 266681171 Position: Postdoctoral Research Associate/Empirical Study
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The Multiphysics Computation Section at Argonne National Laboratory is seeking to hire a postdoctoral appointee for performing multi-physics and multi-scale CFD simulations of aviation gas turbine
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focuses on creating new scientific knowledge for establishing new businesses and technology-driven transformation of large and small firms, as well as of entire industries. Tying together theory-driven and
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Postdoctoral Research Associate ( Job Number: 25000280) Department of Mathematical Sciences Grade 7: - £38,249 per annum Fixed Term - Full Time Contract Duration: Up to 24 months Contracted Hours
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Postdoc (f/m/d): Machine Learning for Materials Modeling / Completed university studies (PhD) in ...
using first-principles simulations software (density functional theory and related codes) # Automated Workflows:Utilize automated workflows on high-performance computing systems for efficient data