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Field
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industrial problems can benefit from novel computational paradigms, including quantum annealing, gate-based quantum optimization, quantum-inspired methods, and hybrid quantum-classical algorithms
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guarantees. Job description We're looking for a skilled Postdoctoral Researcher to develop and deploy cutting-edge Iterative Learning Control (ILC) algorithms on real-world industrial platforms. The project
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testing of model-free algorithms for real-time optimization of turbine operating conditions (e.g., yaw set points). Other projects may be assigned by the supervisor depending on skills and technical needs
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; - concentration of measure in non-classical settings (non iid); - information-theoretic bounds on the generalisation error of learning algorithms; - estimation theory; - hypothesis testing in non-classical
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available in the Computer Science department at Purdue University. The research focuses on developing algorithms for the analysis of time series data using quantum machine learning models, and
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contributes to applied nuclear and particle physics research leveraging machine learning and AI for data analysis and detector development, as well as exploratory work in quantum algorithms, depending on
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Algorithms, Data, and Market Design (CADMY) is a cross-university center that seeks to support and further research at the intersection of Computer Science, Data Science, and
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detection and monitoring, invariant and distributionally robust representation learning algorithms, and deployment-time calibration with uncertainty quantification using approaches such as conformal
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construction of sub-mK refrigerators. For more information, please see https://www.aalto.fi/en/otanano . During employment you are expected to lead the building of the infrastructure and its upgrades
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appropriate Development of scalable numerical algorithms for systems containing large numbers of lasers and optical modes An important component of the project will be determining how numerical algorithms