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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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disciplines Excellent written and spoken English Experience with optimal control theory and methods Contract terms The position is regarded as a full-time employment with a competitive monthly salary and full
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related courses. Documented knowledge in kinetic theory, non-local diffusion or dynamics on graphs is beneficial but not a requirement for the position. Good communication skills in both written and spoken
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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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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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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
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solid knowledge of and show interest in mathematical analysis, partial differential equations and related subjects and is expected to have completed related courses. Documented knowledge in kinetic theory
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The Department of Urban and Rural Development conducts undergraduate and postgraduate education, research and collaboration. About 175 people are employed in five divisions. The department is the
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. The project will develop fundamental theory and tools that will be key for understanding biological mechanisms causing diseases that are due to gene dysregulation, such as cancer. The core of the project is a
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the division of Geoscience and Remote Sensing we conduct research to tackle global environmental problems and to understand processes of the Earth system. We develop sensors, gather and analyse data