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. The concept has lately gained increasing interest from researchers in applied mathematics and machine learning. This is due to its remarkable flexibility, mathematical elegance, and as it has produced state
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state-of-the-art machine learning and deep learning techniques (such as generative adversarial networks), with empirical fieldwork in Norwegian glacier environments. As a Postdoctoral researcher, you will
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members, including 70 professors. To learn more, please visit eng.aalto.fi. Department of Energy and Mechanical Engineering is a community of around 300 staff members – including 30 tenure track
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algebras, tensor categories, lattice models of statistical physics, conformally invariant random processes, formalization of mathematics (preferably in Lean). The working language of the group is English
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background in mathematics. We particularly value experience in the following topics: vertex operator algebras, infinite dimensional Lie algebras, tensor categories, lattice models of statistical physics
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include advanced and functional materials, chemical synthesis, energy storage and conversion, as well as molecular and materials modeling. Within this department, the Electrochemical Materials and
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atomic-scale engineering of materials. Our focus areas include advanced and functional materials, chemical synthesis, energy storage and conversion, as well as molecular and materials modeling. Within
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, spatial, and social data into digital twin models for scenario testing and policy simulation. Adapt co-design methods to local contexts in demonstrator sites (Portugal, Sweden, Italy). Contribute to policy
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active role in advancing the research projects of the MQS group. Our recent research has focused on the theory and applications of variational quantum algorithms and quantum machine learning. We also have
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on the theory and applications of variational quantum algorithms and quantum machine learning. We also have activity in quantum optics, so additional experience and interest in this topic is considered a definite