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robotics – reinforcement learning, whole-body model predictive control (MPC), and differentiable optimal control – to simulate human balance and step recovery in urban transport scenarios. The goal is a
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Networks conducts cutting edge research covering several aspects of communication infrastructures. The Optical Networks (ON) group performs research in network architecture design and optimization, control
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, energy-efficiency, flexibility, and scalability. Energy- and performance-optimized digital circuits and systems are indispensable to meet the high demands from the system level. Therefore, EIT intends
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electronics devices. The integration of power electronics enables optimization of the system design and harmonization of different functionalities for reliable and cost-effective energy conversion onboard off
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– protein interactions or enzyme optimization. Main responsibilities The candidate will use and develop methods within one, or multiple, of the following categories: Optical engineering, fluorescence
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algorithms. Our research integrates expertise from machine learning, optimization, control theory, and applied mathematics, spanning diverse application domains such as medicine, energy systems, biomedical
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for this Postdoctoral researcher position will focus on one or more of following key areas, where proof of previous work with experimentally verified results is necessary: - Distributed robotic autonomy for embodied
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to unforeseen stress D. Multitrophic interaction networks as drivers of competitor coexistence under global change E. From training load to adaptation: Modeling of stress, resilience, and performance in elite