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systems (ITS). In particular, the successful candidate will conduct cutting-edge research in: Developing physics-informed neural networks (PINNs) for complex dynamical systems modeling and observer design
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strategies. Design, fabricate, and characterize functional membranes (e.g., conductive, anti-fouling, electrochemical systems). Operate and evaluate membrane systems (RO, NF, UF) at lab and pilot scales. Apply
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of the state-of-the-art (SOTA) methods; Design and implement experiments on real platforms operating outdoors, to compare our proposed work with SOTA baselines; Contribute to the preparation of manuscripts
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, mathematics, and innovation. Candidates must hold (or be close to completing) a Ph.D. in Applied Mathematics, Electrical or Mechanical Engineering, Physics and Applied Physics or a related field. Working in a