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electronics, power system analysis, as well as experience in modelling, simulation, or experimental work. Ability to work independently, in a structured and goal-oriented manner, both individually and in
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the tropical Andes of Bolivia. Start date is flexible, but expected to be November-December 2025. Contact Person: For more information about the position, please contact: Sissi Lozada Gobilard Email
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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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sent by email will not be considered. Application deadline: November 14, 2025 For questions about the research project, please contact: Henrik Grönbeck, ghj@chalmers.se , +46317722963 For questions
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to reach the application form. Please note: The applicant is responsible for ensuring that the application is complete. Incomplete applications and applications sent by email will not be considered
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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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flow behavior. The project also involves applying machine learning and computer vision techniques to enhance data analysis, pattern recognition, modeling, and prediction. The role requires a solid
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verifiability for AI systems, based at the Department of Computer and Information Science. These positions are funded by the Wallenberg AI, Autonomous Systems and Software Program (WASP). Wallenberg AI
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application! We are looking for up to two PhD students in trustworthy machine learning, with a particular focus on cybersecurity, privacy, and verifiability for AI systems, based at the Department of Computer