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systems. Position Requirements: Ph.D. in Robotics, Electrical Engineering, Telecommunications, Computer Engineering, Control Engineering, Artificial Intelligence, or a closely related discipline
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, optimization, and the experimental validation of communication-aware robotic systems. Position Requirements: Ph.D. in Robotics, Electrical Engineering, Telecommunications, Computer Engineering, Control
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process intensification, sustainability, and advanced process control, aiming to develop AI-driven frameworks for multi-scale modeling, multi-objective optimization, and predictive control of complex
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process modeling, simulation, and systems analysis Experience with experimental work in chemical or process engineering (desirable) Knowledge of process optimization, parameter estimation, or control
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experimental work in chemical or process engineering (desirable) Knowledge of process optimization, parameter estimation, or control methods is a plus Programming experience in MATLAB and/or Python Familiarity
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of Artificial Intelligence (AI) in Chemical Process Systems Engineering (CPSE). The position addresses key challenges in process intensification, sustainability, and advanced process control, aiming to develop AI
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-products. Monitor and control the migration of radionuclides and heavy metals throughout industrial processes. Optimization of Industrial Processes: Utilize nuclear techniques to enhance the efficiency and
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. The project focuses on developing sustainable and optimized processes for the purification of industrial acidic and complex aqueous media through the selective removal and recovery of impurities to enable
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process integration and mass transfer optimization under corrosive conditions. Investigating material stability, impurity control, and competing-species effects in highly acidic and complex matrices
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: The successful candidate is expected to: Have hands-on experience in hydrogel formulation and (bio)polymer processing. Have good experience in developing porous materials, including design, fabrication, and