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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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network. Analysis of reflected signals provide information about the Earth's surface, which allows monitoring of the environment. This position is a unique opportunity to work at the crossroads of satellite
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funded by a EU programme Reference Number 304--1-13797 Is the Job related to staff position within a Research Infrastructure? No Offer Description Do you want to be a part of the on-going revolution in
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the results of your research verbally and in writing. The position generally also includes teaching or other duties corresponding to 20% of working hours. Key responsibilities include: Designing and conducting
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on advancing Net Zero industries through new knowledge and solutions in maintenance engineering, such as in the emerging and rapidly scaling battery industry. The position is uniquely open for top talent eager
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take part in research projects with different companies involved which will provide access to a broad range of empirical settings. Consequently, the research will focus on empirical studies involving
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correctly. Project description The goal of this PhD project is to develop techniques for the design and verification of assured ACPS with a focus on runtime assurance. You will develop theory and tools