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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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search is nuclear theory; a research area in which we have a strong international position and benefit from exceptional collaborations. Organizationally we are part of the Division of Subatomic, High
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, for example via equilibrium and non-equilibrium Green's functions, density functional theory, and tensor network methods. Experience in topological magnetic systems and nonlinear optical phenomena is considered
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Engineering and Autonomous Systems division . We offer advanced PhD courses where we extend the fundamentals in optimal control, machine learning, probability theory and similar. The research and learning
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, and the sub-study explores the creation of alternative cultures within postcolonial contexts. We are looking for a researcher with a strong foundation in post/decolonial and feminist theory, and with
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supervised by Sebastian Throm. The subject area of the announced position covers kinetic theory, non-local diffusion and dynamics on graphs. The precise research direction will be determined together
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; however, such tests are not always economically feasible. As a result, several studies have explored simpler methods to estimate SP values using index tests. These studies, however, are typically based
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specific focus on Aerial and Space robotics. The vision of RAI is aiming in closing the gap from theory to real life, while the team has a strong expertise in field robotics. Specific application areas
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.” In this role, you will develop advanced methods to estimate rail roughness and defects based on onboard vibration and sound signals—contributing to a quieter, more reliable, and cost-efficient railway
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application! We are looking for a PhD student in theoretical physics with a focus on the theory of magnetic materials. Your work assignments Your tasks will be to carry out research using advanced theoretical