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-phase flow behavior and mixing within the CSTR. These simulations will be used to evaluate impeller performance, analyze hydrodynamic characteristics, and identify key synthesis parameters influencing
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Phase 1 with AI to develop predictive maintenance capabilities and extract insights about the manufacturing process, such as: Identify any key parameters in the mfg process that impact material
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with physics-based models Developing robust and adaptive methods for real-time parameter and state estimation Implementing machine learning approaches that preserve physical constraints while handling
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manufacturing process, such as: Identify any key parameters in the mfg process that impact material performance Optimise power/energy usage throughout the process The outcome will be to optimise the manufacturing
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outdoor environments and analyse the data using Matlab code to estimate the appropriate channel parameters in various wave bands for the design of radio systems. 2. Collect the data and analyse
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) for dynamic systems with unknown but measurable performance functions. Experience in system identification and online time-varying parameter estimation algorithms. Programming skills in MATLAB/Simulink, C/C
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parameters—including additive manufacturing—to component-level behavior and overall engine system performance using state-of-the-art MBSE methods and tools. Particular attention will be given to how
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21 Nov 2025 Job Information Organisation/Company Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH Research Field Computer science Engineering » Computer engineering Researcher Profile
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, and system validation for small jet engine concepts. The research will include the development of modeling strategies that connect material properties and manufacturing process parameters—including
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24 Nov 2025 Job Information Organisation/Company Computer Vision Center Research Field Computer science » Other Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Country