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Do you want to be part of a large scale national project and work on multi-commodity energy districts? The envisioned research is part of the research program Intelligent Energy Systems (IES
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development and optimization) Output: Validated new normalization markers, performance metrics reports. ________________________________________Objective 4: Field sampling and data collection• Task 4.1
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intelligence methods. The planned strategy relies on the synthesis of a broad library of new catalysts (>100) with diverse structures and the evaluation of their catalytic performance in both processes (>1000
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, Radboud University) and industry partners (e.g., Philips, Kalcio Healthcare). Conduct and publish high-quality scientific research, including studies on workflow optimization, AI application in healthcare
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: For applications requiring short packets / low latency, it is important to obtain tight bounds for the optimal secrecy rate in finite blocklength. Building on the theoretical breakthrough by Polyanskiy
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for Optimizing Feto-Neonatal Neurodevelopment: Monitoring, Diagnosis, and Personalized Treatment”, with reference NORTE2030-FEDER-01821500 (Notice NORTE2030-2024-13 – SACCCT - Integrated ICDT projects - APNOR
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for Optimizing Feto-Neonatal Neurodevelopment: Monitoring, Diagnosis, and Personalized Treatment”, with reference NORTE2030-FEDER-01821500 (Notice NORTE2030-2024-13 – SACCCT - Integrated ICDT projects - APNOR
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installation at DTU Campus for server room cooling will serve as a pilot for testing, control, and optimization of such latent thermal energy storage. This installation will be taken into operation in March 2026
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the design and optimization of multistatic and multifrequency radar architectures for near-field 3D imaging. - Contribute to the electromagnetic modeling of radiating systems, wave-object interaction, and
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of Digital Agriculture is engaged in simulation models of plant stands to improve plant system understanding and its control and optimization. Our research links Artificial Intelligence methods