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this requirement may still be hired, provided they actively work to acquire these language skills. Pursuant to Karlstad University’s Appointments Procedure, teachers must have the personal qualities
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at the intersection of artificial intelligence, robotics, machine learning, and human-robot interaction. Project description The focus of the project is unconventional computing, and, specifically, the development
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is also on-going in the subjects of Process Metallurgy, Cyber-Physical Systems, Experimental Mechanics, Machine Learning, and Operations & Maintenance, to enable RECAT’s ambitious goals. Subject
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automata, and the mathematical and computational foundations of neural networks. Familiarity with the following areas is meritorious: machine learning, computational complexity, tree automata and tree
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++, Fortran) Background in mechanics of materials or computational modelling Experience with machine learning for physical fields/PDEs/GNNs and HPC workflows Interest in interdisciplinary collaboration and
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/NIR) for separation and material sorting, and use machine learning for process optimisation and performance prediction from fiber to finished product. Functional processing of recycled materials and AI
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, and doctoral students active on both campuses. Learn more about the Department of Archaeology, Ancient History, and Conservation here: Department of Archaeology, Ancient History and Conservation
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of distributed systems and networks for machine learning inference. Applying machine learning concepts, with the goal of devising agentic frameworks, will also be a part of the project. Supervision: Professor
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allocation proposals, conducting machine learning workflows, and developing complete models. Example applications include microscopy image data, cryo-electron microscopy, structural prediction and dynamic
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are important. You are welcome to apply for a job with us! Here you can learn more about what it's like to work at Malmö University: Work with us We are looking for Research assistant in Machine Learning with a