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reconfiguration operation. Develop and evaluate fast and efficient scheduling algorithms for fast control and reconfiguration of the optical AI compute clusters. Realize a small-scale compute cluster lab testbed
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process. This project offers a unique opportunity to work at the intersection of machine learning and control theory. You will develop rigorous theory and scalable computational methods for certifying
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Engineers usually want predictability. This project embraces chaos! – Excited about control theory? Then join us to build the math of chaotic sampling for greener and more secure control systems
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12 Sep 2026 Job Information Organisation/Company University of Groningen Research Field Engineering » Control engineering Engineering » Electrical engineering Researcher Profile First Stage
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integrated switches in collaboration with the industrial partners. Develop the optoelectronic interfaces and controls to enable remote reconfiguration operation. Develop and evaluate fast and efficient
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information and affective processing, decision-making by patients and clinicians, approach-avoidance tendencies, cognitive control, emotion regulation, motivation, and executive functioning.
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robotic platforms, integration of optical and imaging-based feedback, and development of modeling and control strategies for operation in complex biological environments. Particular attention will be given
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Are you fascinated by controlling magnetic matter by femtosecond laser pulses, eager to explore the underlying physical mechanisms, and passionate to develop a generic tool to ‘print’ complex
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Job description Recent trends in Controlled Environment Agriculture (CEA) development, design, and operations related to energy saving and greenhouse gas emission reduction, are mainly focused
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stimuli-responsive soft material. Controlled external stimulation will deform the material and generate spatially and temporally defined forces at the cell–material interface. You will develop analytical