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is a dominant load, and advanced control can adapt this load by changing the indoor temperature in time. Model Predictive Control (MPC) is gaining increasing interest in performing this space-heating
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advances, challenges like time-consuming segmentation and model complexity limit clinical adoption. This project aims to streamline segmentation and develop real-time biomechanical assessment tools, bridging
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, techniques and the research basis for a portable AI-based, marker-free 3D modelling system to generate personalized avatars. We utilize recent advances in programming tools for hybrid physics-AI problems and
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, and plans are far advanced for the installation of similar sensors in the fjords of the municipality. This position will support the development of an integrated and intelligent system for monitoring
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for sufficiency in residential architecture Design and evaluate sufficiency measures for new and existing residential buildings Advance the knowledge on the value of spatial quality versus area and volume Develop a
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vacancy for a 3-year PhD position as part of the HORIZON Marie Skłodowska-Curie Action (MSCA) Doctoral Network LeidenForce “Advanced Leidenfrost Effect”. The start date is no later than August/September
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, compared with state-of-the-art rule-based methods as baselines. Design of control barrier functions (CBFs) considered for safeguarding control setpoints. Dynamic programming and model-predictive control