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of this WASP-financed project is machine learning, in particular dealing with generative models and instabilities associated with cycles of retraining on mixtures of human and machine-generated data
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approach that integrates wireless communication, computer vision, and machine learning to optimize PC transmission from sensors to an edge server for remote registration. The research is funded by Wallenberg
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, implementation of methods in computer codes, use of state-of-the-art high-performance computers in Sweden and in Europe, application of machine-learning and AI techniques, and collaborations with experimental
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7 Mar 2025 Job Information Organisation/Company Linköping University Research Field Computer science » Other Engineering » Computer engineering Researcher Profile First Stage Researcher (R1) Country
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engineering, machine learning, statistics, computer science, applied physics or completed courses with a minimum of 240 credits, at least 60 of which must be in advanced courses. Alternatively, you have gained
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essentially corresponding knowledge in another way. Experience with Computational Fluid Dynamics (CFD) is advantageous, as is knowledge of quantum chemical calculations (DFT). An interest in machine learning
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advantageous, as is knowledge of quantum chemical calculations (DFT). An interest in machine learning and AI-based methods, as well as programming skills in languages such as Python or MATLAB/Simulink, is