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theoretical analysis, 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
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to four years, with the possibility to teach up to 20%, which extends the position to five years. A dynamic and inspiring working environment in the coastal city of Gothenburg . A starting salary of 34,550
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Chalmers, you are an employee and enjoy all employee benefits. Read more about working at Chalmers and our benefits for employees. The position is limited to four years, with the possibility to teach up
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assessment criteria: Knowledge in energy technology, large language models (LLMs), deep learning, and Python programming. Meritorious qualifications include knowledge in power engineering, power electronics
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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 leading
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education to enable regions to expand quickly and sustainably. In fact, the future is made here. Are you interested in learning more? Read about Umeå university as a workplace Description of work About the
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to assimilate knowledge at the research level. Understanding and experience in machine learning and computer vision. Knowledge, experience, and strong interest and in AI and XR development. Knowledge and
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analyses and machine learning. Some data for the project already exist, but additional data will be collected from behavioural tests on privately owned pet dogs in Sweden and abroad (Europe). Travel and time
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preferably also of other languages. Anyone admitted who doesn’t have a command of Swedish will be expected to learn Swedish during the first two years of the Programme. Applicants will be assessed on the basis
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capabilities of nonlinear quantum systems, employing tools from quantum information theory and quantum metrology. The work will involve learning and applying mathematical methods to solve open quantum dynamics