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, fined tuned for zooming in on machine spatial reasoning, is within the scope of this project. Developing efficient algorithms for converting computer simulations of a system in a complex environment (e.g
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dynamics in the southwest Cordillera. ● Integrate geophysical and geochemical information (e.g., seismic, thermal, and compositional models) to constrain crustal rheology and structural parameters
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dynamics in the southwest Cordillera. ● Integrate geophysical and geochemical information (e.g., seismic, thermal, and compositional models) to constrain crustal rheology and structural parameters
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+ 0.05 PT + 0.05 PST&DSC, where the abbreviations STW, PE, SS&TA, PT, PST&DSC are the classifications of the indicated parameters. The classification STW corresponds to the following ratings: 19 to 20
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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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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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24 Nov 2025 Job Information Organisation/Company Computer Vision Center Research Field Computer science » Other Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Country
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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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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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) 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