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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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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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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
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for Quantum Technology (WACQT, http://wacqt.se ). The core project of the centre is to build a quantum computer based on superconducting circuits. You will be part of the Quantum Computing group in the Quantum
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Are you interested in environmental assessment and battery technology? Join us in a groundbreaking project that aims at improving how we assess environmental impacts of next-generation batteries. As