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control, and IT/OT integration for battery production, including digital twins, model predictive control, industrial IoT, and advanced automation architectures. The aim is to develop next-generation
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, real-time control, and IT/OT integration for battery production, including digital twins, model predictive control, industrial IoT, and advanced automation architectures. The aim is to develop next
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Initiatives in Forest Research (www.slu.se/en/wiforce ), was created. The Department of forest genetics and plant physiology is part of Umeå Plant Science Centre (UPSC, https://www.upsc.se ) which is a centre
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/environmental database and model-predictive control for indoor farming applications. Assist project team in deployment of testbeds and instrumentation for testing and validation of agritech/green building
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PID-based control systems to measure net cooling power. Correlate empirical thermal measurements with high-precision optical data. Develop predictive models of radiative cooling performance using FEM
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-based teleoperation and supervisory control, enabling intuitive interfaces for astronauts and operators; Exploring how AI techniques such as reinforcement learning, imitation learning, and predictive
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corresponds to level 1, position 1 predicted in the Annex I and Annex II of the Regulation of Research, Science and Technology Staff of the University of Porto , being € 1.337,30, full time. Admission