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(MPC) and Reinforcement Learning (RL) have proven effective in isolated studies, their widespread deployment is hindered by the lack of interoperability, the high cost of model creation, and data
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dynamics to longer-term fluctuations driven by biological factors and learning. (3) Design and coordinate a large-scale data collection using a measurement-burst EMA approach to test the models and address
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. At the Division of Systems and Control , we develop both theory and concrete tools to design systems that learn, reason, and act in the real world based on a seamless combination of data, mathematical models, and
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distortion that arises in a complex aero-engine intake. This is predominately a hands-on experimental aerodynamics project with the goal of developing an approach to synchronously acquire velocity and total
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collaboration with the PI and lab members. Design, implement, and analyze behavioral and neuroimaging (fMRI) experiments. Develop and apply computational models (e.g., reinforcement learning, drift-diffusion
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machine learning and AI to design new communication protocols and strategies for satellite networks. Your competencies We are looking for two motivated and curious PhD candidates. It is important the
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learning, deep learning, and LLM-based methods to multimodal clinical datasets e.g. EHR, imaging, omics, sensor data Designing and implementing NLP pipelines for clinical text processing, semantic annotation
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. The project focuses on power-aware computing, thermal optimization, and sustainable electronic design, targeting critical applications in aerospace, healthcare, and industrial automation. Hosted by the renowned
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biomedical engineering, electrical engineering, machine learning, statistics, computer science, or a related area considered relevant for the research topic, or completed courses with a minimum of 240 credits
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. These voids accumulate over successive cycles, which increases the local current density, ultimately resulting in dendrite formation during plating, leading to short-circuits and cell failure3. Rational design