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direct access to state-of-the-art labs, cutting-edge infrastructure, and specialized development and product teams tailored to your project’s unique needs—facilitating rapid iteration and optimized drug
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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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(e.g. first-order optimality, gradient descent algorithms, and basic linear or nonlinear programming) is required. Object-oriented programming experience is required. Experience in parallelizing code is
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accepted all year round Details Model predictive control (MPC) is a popular advanced control technique that solves a constrained optimal control problem, on-line, at each sampling instant. The first control
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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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. • 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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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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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