25 phd-position-data-mining PhD positions at Chalmers University of Technology in Sweden
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PhD Position in Theoretical Machine Learning – Understanding Transformers through Information Theory
Join us for a fully funded PhD position in theoretical machine learning to uncover how and why transformers work. Explore their inner mechanisms using information theory. As part of this project
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establish an adaptive multiscale platform where catalyst performance is computed from first principles. Contract terms and what we offer The PhD-positions are fully funded from start As a PhD student at
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project The research takes place in the context of Software Center, a collaboration between 15 companies and 5 universities around accelerating digitalization (software, data and AI). Specifically
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includes teaching on Chalmers' undergraduate level or performing other duties corresponding to 20 per cent of working hours Contract terms and what we offer The PhD position is fully funded from start As a
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Are you passionate about railways, acoustics, and data-driven infrastructure solutions? We are looking for a PhD student to join the project “A robust tool for rail fault and roughness estimation
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urban planning. Research environment This PhD position is part of the Sustainable Urban Water and Environmental Engineering (SUWEE) research area within the Department of Architecture and Civil
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Are you eager to conduct cutting-edge research at the intersection of electronics and artificial intelligence (AI)? We invite highly motivated candidates to apply for this PhD position
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This PhD position offers a unique opportunity to advance safe and transparent control for autonomous, over-actuated electric vehicles. You will work at the intersection of model predictive control
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network. Analysis of reflected signals provide information about the Earth's surface, which allows monitoring of the environment. This position is a unique opportunity to work at the crossroads of satellite
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analyse empirical data Write research articles and other publications Present research at conferences and to relevant stakeholders Collaborate with researchers, industry professionals, and other PhD