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looking for a motivated POSTDOCTORAL RESEARCHER IN OPTIMIZATION FOR COMPLEX ENERGY AND SUSTAINABILITY PROCESSES Are you looking for a future industrial research position or a long-term academic career? Do
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Conversion and Systems at the Aalto University School of Engineering invites applications for Doctoral Researcher in Sustainable Renewable Energy Engineering, Modeling and Optimization Department of Energy and
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) in computer science, mathematics or statistics, with an excellent publication record. Solid research experience in one or more of the following topics is expected: Graph neural networks Optimization
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neither guaranteed (optimism) nor impossible (pessimism). MePhiS aims at (1) reinterpreting ethical and other philosophical issues by emphasizing their entanglement with suffering; (2) integrating
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neither guaranteed (optimism) nor impossible (pessimism). MePhiS aims at (1) reinterpreting ethical and other philosophical issues by emphasizing their entanglement with suffering; (2) integrating
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. Machine-learning-enhanced quantum simulation, including optimization of measurement protocols, regression of observables from single-shot data, and data-driven characterization of complex quantum phases
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neither guaranteed (optimism) nor impossible (pessimism). MePhiS aims at (1) reinterpreting ethical and other philosophical issues by emphasizing their entanglement with suffering; (2) integrating
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neither guaranteed (optimism) nor impossible (pessimism). MePhiS aims at (1) reinterpreting ethical and other philosophical issues by emphasizing their entanglement with suffering; (2) integrating
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from estimation and optimization theory to hardware design. The specific topic of the project falls in the intersection of statistical signal processing and applied mathematics and is in particular
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computing. This will include, but is not limited to, the design of distributed quantum algorithms, circuits, and error correction, as well as the interplay between circuit optimization and circuit