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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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senior researchers, three postdocs and three PhD students. It is embedded in an interdisciplinary environment where we have close collaboration with other research teams at Chalmers such as technology
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/thesis: Industry-/collaboration PhD student in optimized off-road driving in forests Research subject: Soil science Description: We are looking for an industry/collaboration-based PhD student to develop a
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, Society and Engineering, our students study for, among other things, university and civil engineers, political scientists and economists. With us, the research focuses are industrial economics and
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must have a PhD or a foreign degree equivalent to a PhD in systems or synthetic biology or related subject. A doctoral degree awarded no more than three years before the application deadline provides a
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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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take courses in the form of third-cycle studies introduction, generic courses for LTU PhD program, specially designed courses, etc. Your research and coursework will be planned and recorded in your
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to fields such as critical theory, digital sociology, criminology, or science and technology studies (STS). As part of the application, the doctoral student will draft a brief plan for an independent project
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particular focus will be on preparing and testing new imaging protocols for brain tumors, where the technology is evaluated for clinical application. The work is carried out in close collaboration with
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. To support your dissertation work, you will take courses in the form of third-cycle studies introduction, generic courses for LTU PhD program, specially designed courses, etc. Your research and coursework will