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an excellent publication record. Solid research experience in one or more of the following topics is expected: Graph neural networks Optimization algorithms Predicting structured output Self-supervised learning
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Postdoctoral Researchers in Mathematics in probabilistic and algebraic approaches to quantum field theory Aalto University is where science and art meet technology and business. We shape a
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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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into the same devices. The research project is part of a larger consortium, gathering world-class researchers in remote sensing with expertise ranging from estimation and optimization theory to hardware design
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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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the machine learning models, you will generate datasets from electronic structure theory calculations. You will manage large-scale simulations run on world-class supercomputing facilities alongside AI
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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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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