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University explores synergies between nonlinear control theory and physics informed machine learning to provide formal guarantees on performance, safety, and robustness of robotic and learning-enabled systems
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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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studies and interactive AI systems. This position will be funded based on an initial 2-year contract + 2 years extension. The key idea is to apply theories, models, and methods from psychology to improve
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experimental and computational / theory research. Your background and expertise A study background and doctorate degree in computational soft materials physics, polymer technology, chemistry, materials science
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theories/debates, research hypotheses/questions, research methods and work plan, data sources, and analytical approaches (max 3 pages) CV including details of all academic outputs and email information for 2
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7 Nov 2025 Job Information Organisation/Company AALTO UNIVERSITY Research Field Computer science Engineering Mathematics Researcher Profile Recognised Researcher (R2) Established Researcher (R3
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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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As a joint initiative between the School of Business, Department of Economics, and the School of Science, Department of Mathematics and Systems Analysis at Aalto University, we invite applications
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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