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at Aalto University School of Science, in collaboration with the groups in the National Center of Excellence QTF - Quantum Technology Finland, and the theory groups of Prof. Päivi Törmä at Aalto University
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School of Science, in collaboration with the groups in the National Center of Excellence QTF - Quantum Technology Finland, and the theory groups of Prof. Päivi Törmä at Aalto University and Prof. Tero
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and small firms and entire industries. Tying together theory-driven and problem-oriented research is the basis for our education of future leaders, entrepreneurs, professionals, and researchers who can
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Python with demonstrable familiarity with PyTorch, experience in working on shared codebases, excellent applied math skills (especially probability theory, matrix algebra, calculus). Beyond technical
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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
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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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support the group and complement our research portfolio in the field of optimization. The work comprises combining theory and practice by investigating efficient ways to model and solve demanding industrial
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of optimization. The work comprises combining theory and practice by investigating efficient ways to model and solve demanding industrial problems related to energy and sustainability. The decision levels mainly
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excellent programming skills in Python with demonstrable familiarity with PyTorch, experience in working on shared codebases, excellent applied math skills (especially probability theory, matrix algebra