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that yield valid statistical conclusions (inference) on causal effects when using machine learning algorithms and big datasets. The project is part of the research environment Stat4Reg (www.stat4reg.se ), and
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settings and in quantum serverless computing environments. The work will range from theoretical and algorithmic development of compilation and scheduling techniques, through the design and implementation
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techniques to model fluid turbulence, fusion plasmas (with a particular focus on inertial confinement fusion target design), and quantum circuit simulators. The work will range from algorithmic and theoretical
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can take one of two directions depending on the expertise of the selected candidate: novel algorithm design, with advanced control, optimization and deep reinforcement learning; hardware-oriented
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cutting-edge systems design, AI at the edge, optimization, and shaping future mobile networks, this is your chance to dive in. A strong focus will lie on the development of optimization algorithms
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topology, algorithms and complexity, combinatorics, differential geometry and general relativity, dynamical systems, mathematical physics, mathematical statistics, number theory, numerical analysis
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position in our Trapped Rydberg Ion Project. The candidate will contribute to cutting-edge research on trapped ion experiments, focusing on the implementation of fast quantum gates and quantum algorithms
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knowledge and skills through interaction with their surrounding environment. Embodied AI requires tools, algorithms, and techniques to cope with real-world challenges including but not limited to uncertainty
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. The main research problems include mathematical theory, algorithms, and machine learning (deep learning) for inverse problems in artificial intelligence, as well as application to medical problems. About the
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environment. Embodied AI requires tools, algorithms, and techniques to cope with real-world challenges including but not limited to uncertainty, physical constraints, scarce data, and high variability. In