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vibration analysis techniques Strong understanding of drilling automation systems and modern control theories, including multivariable control, learning-based control, nonlinear dynamics, convex optimization
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to an exciting project at the intersection of data assimilation and optimal transport, focusing on Wasserstein Gradient Flows. The goal is to design innovative assimilation schemes using nonlinear approximation
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. The goal is to design innovative assimilation schemes using nonlinear approximation tools—such as neural networks, spline functions, or Gaussian random fields. The core challenge? Developing methods
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positioned team of experts in the field of photonic components, laser sources, and nonlinear converters. You will contribute to the improvement of fiber components and new designs. You will independently work
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stakeholders in non-engineering fields is required. Basic knowledge in mathematical optimization (e.g. first-order optimality, gradient descent algorithms, and basic linear or nonlinear programming) is required
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, supervising, motivating, and leading of staff; in analyzing workflow and determining optimal staff configurations to meet operational and service needs; and in resolving performance problems and other personnel
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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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. • Characterisation of cooperation amongst elements of a network in terms of robustness and optimality. • Synthesis and design of nonlinear distributed controllers. • Data-driven control in a nonlinear setting. This
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, biophysics, condensed matter physics, controlled fusion & plasma physics, elementary particle physics, nanoscience, and nonlinear dynamics. Research activity occurs both on-campus and in multiple off-campus
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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