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will: Develop and implement model-based and data-driven (AI) optimization algorithms for battery charging Integrate physics-informed models and data-driven tools to design health-aware charging protocols
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2-year postdoctoral position working on cutting-edge research in IoT sensor networks for critical infrastructure monitoring and mission-critical control systems. Expected start date and duration of
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the world based solely on research in photonics and electronics. Our photonics research is performed within optical sensors, lasers, LEDs, photovoltaics, ultra-high-speed optical transmission systems, bio
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: Implement and optimise deep learning–based models for the quality control and real-time assessment of concrete constituents within in-line production. Develop and train predictive algorithms based
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performed within optical sensors, lasers, LEDs, photovoltaics, ultra-high-speed optical transmission systems, bio-photonics, nano-optics, and quantum photonics. Technology for people DTU develops technology
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the development and testing of advanced control strategies for building energy systems. The work is closely connected to a real-world pilot case, where measured sensor data will be used for model calibration
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on stability. Testing the model in standard stirred tank apparatus Refining the model to allow predictability between different types of apparatus. Defining an algorithm for testing enzyme stability
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simulation tasks. A key objective will be the development and testing of algorithms for gas hydrate phase equilibrium calculations. CapSim seeks to advance CO₂ capture simulation technology by enhancing
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related devices - critical components in applications such as soft robotics, sensors, or rubber-based batteries. This role offers an excellent opportunity to contribute to cutting-edge research in a highly
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describing the effect of conditions on stability. Testing the model in standard stirred tank apparatus Refining the model to allow predictability between different types of apparatus. Defining an algorithm