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. Experience with control systems including the design of RL and MPC are required. Work with autonomous robots and competency in the Robot Operating System, and/or Physics Engine Simulators are preferred
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robots and competency in the Robot Operating System, and/or Physics Engine Simulators are preferred. The terms of employment are very competitive and include housing and educational subsidies for children
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information, please visit https://nyuad.nyu.edu/en/research/centers-labs-and-projects/kirmizialtin-lab.html . Candidates must have a Ph.D. in Chemistry, Physics, or related field, with extensive experience in
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must have a Ph.D. in Chemistry, Physics, or related field, with extensive experience in the application of molecular dynamics simulations to molecular systems, ideally in both methods and applications
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Application Deadline 12 Oct 2025 - 00:00 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
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. This involves the development of mathematical models for signal transmission/reception, derivation of performance limits, algorithmic-level system design and performance evaluation via computer simulations and/or
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through computer simulations and/or experimental validation. The PDA is expected to actively disseminate results through publications in high-impact journals and presentations at leading international
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for physical systems. The postdoc will work on projects focusing on one or more of the following: Robot Learning & Autonomy – Developing algorithms that allow robots to learn (via exploration or imitation) from
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of performance limits, algorithmic-level system design and performance evaluation via computer simulations and/or experimental means. The PDA is expected to actively disseminate results through publications in
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models for signal transmission and reception, derivation of fundamental performance limits, algorithmic-level system design, and performance evaluation through computer simulations and/or experimental