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Field
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Postdoctoral Fellow to join the Tang Lab. The Tang Lab (https://tangxinlab.org/ ) works at the intersection of AI-driven automation, self-driving laboratories, and scientific discovery, in close collaboration
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the state of the art in emerging wireless networks, including simulation aspects; - collaborate in the preparation of technical reports on the algorithms, mechanisms, models, or protocols developed
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(Lisbon time, Portugal). 9. Application process and mandatory documents: Only complete applications submitted directly and obligatorily on the CCMAR website, https://ccmar.ualg.pt/en/career-opportunities
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modern control theory (PID, adaptive, robust, and fractional control); Experience with fuzzy logic and AI-based control (reinforcement learning, neuro-fuzzy systems); Skills in modelling and simulation
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economic assessments machine learning or proxy-model based methods field scale simulation geological features geomechanics reactive flow The PhD fellow are not expected to master all these topics. Project
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the current wording conferred by Decree-Law nº 123/2019, of August 28 and the Regulation of Research Grants of the University of Algarve (https://files.dre.pt/2s/2021/10/210000000/0013700149.pdf ). Working
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interfaces (HMI), and industrial-grade communication protocols for automation in electric power systems.; • Develop and adapt a test network — a simulation model or a replica of a real network — for DIgSILENT
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simulations of planet formation through N-body simulation, focussing on models of planetesimal and pebble accretion. Additionally, it requires the implementation of different disk models and formation
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Offer Description We are seeking to appoint a Postdoctoral Researcher for a three-year position in numerical modelling of the world’s ice sheets. The role is part of PRECISE: Prediction of Climate Change
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deployment enabling validation and demonstration of real-world applications. For more details, please view https://www.ntu.edu.sg/erian Multi-Energy System & Grids Team is looking for a Research Fellow in