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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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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 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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Effective use of AI and AI agents requires high quality data. This research is concerned with studying what data companies should collect, how they should process it, where to store it and how
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development process with the intent of accelerating the adoption of the technology in the companies in Software Center. We seek candidates with the following qualifications: To qualify as a PhD student, you
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We are looking for a highly motivated, skilled, and persistent PhD student with experience in computational fluid dynamics (CFD) and some knowledge in structural analysis. The research aims
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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
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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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, 2025 Contact information Associate Professor Peiyuan Chen, Division of Electric Power Engineering peiyuan@chalmers.se, +46 31 772 1639 Assistant Professor Maria Taljergård, Division of Energy Technology
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, Chalmers, and Digital Building Technologies, Technical University of Denmark (DTU). The PhD candidate will be supervised by supervisors from DTU and Chalmers. About us The position is within the Division