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Field
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Science (Information and Signal Processing), Speech, and Cognition. The unit conducts its research through 11 teams organized into 4 research departments: - Automation and System Safety - Data Science
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, and works on electronics from material and process to a finished, verified component. We work in close cooperation with companies such as Bosch, Ericsson, Volvo, Infineon, Boliden, LKAB and SKF, with
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Inria, the French national research institute for the digital sciences | Talence, Aquitaine | France | about 2 months ago
work closely with a second PhD student, primarily based and supervised at Gepetto, and focusing on the development of RL motion generation and simulation-driven co-design tools. The two PhD projects will
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engineering in a unique way. The Atomic Scale Processing group (Prof. Miika Mattinen) in the Department of Chemistry and Materials Science (CMAT), is now looking for: Doctoral researcher (PhD student) in thin
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, the demand for advanced optical vision systems has grown significantly. Current state-of-the-art vision systems face three main technological barriers: operation within a limited spectral range, with a limited
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classification. The work will involve analytical studies, computer simulations, and finite element (FE) analysis, alongside experimental development and validation. Entry requirements The minimum entry requirement
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of Applied Nuclear Physics at Uppsala University conducts research and education in applied nuclear physics and nuclear engineering. The research includes modelling and simulation of nuclear fuel behaviour in
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for autonomous optimization and design of materials, structures and processes Multimodal scientific AI – integrating language, images, sensor data and simulations Alignment for scientific AI – scalable oversight
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electronics from material and process to a finished, verified component. We work in close cooperation with companies such as Bosch, Ericsson, Volvo, Infineon, Boliden, LKAB and SKF, with leading international
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optimization of machine learning methods for processing Quantum OCT (Q-OCT) signals. Design, training, and testing of neural network architectures for artefact and dispersion removal in Fd-Q-OCT and SS-Q-OCT