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Field
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You are thrilled by both conceptual questions and experimental work in the laboratory as well as the optimization and further development of components for high-power fiber lasers and would you like
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on reliability, security, and resilience of microgrid systems. This includes advanced control system design, modeling and analysis, control architecture design and communication-based control and optimization
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random dynamics. You will work on quantifying the typical times of observability for the different transient phenomena and elaborating criteria for a dynamically optimal decomposition of the state space
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interest. They include but are not limited to 1) innovative use of AI/ML for designing and optimizing photonic materials, devices, and systems, 2) enabling photonic technologies for AI computing and
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to: - Developing underwater communication systems using deep learning which are well-performing to nonlinear channels. - Establishing a deep learning architecture which is optimal for underwater acoustic
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Smartlife, leveraging model and data-driven digital twins for smart asset management and lifetime optimization of offshore windfarms. For this function, our Brussels Humanities, Sciences & Engineering Campus
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sources and nonlinear converters. You will work independently on projects in the field of fiber preform research and write reports and publications in English, or if possible, German language. What you
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, including being well-versed in a variety of nonlinear editing systems Knowledge of Microsoft Office, Google Suite, PowerPoint, working with laptop and projectors' basic knowledge. Familiarity of online
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to dissociate memories. Finally, it proposes to use this information to come up with novel strategies to make machines unlearn better, more efficiently, and more safely. The potential impact of this project is
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Optimization-based control explores the use of optimization algorithms for feedback control of dynamical systems. For example, model predictive control (MPC) is a widely used optimization-based control method