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PhD Position in Theoretical Machine Learning – Understanding Transformers through Information Theory
. This PhD project aims to close that gap by developing a rigorous mathematical framework to analyze and explain transformers using information-theoretic tools. You will be co-supervised by: Research
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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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for a PhD student focusing on future fuels and propulsion systems for the maritime sector. This is an opportunity for you to contribute to the development of techno-economic and environmental assessment
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between nucleons. In this PhD position, you will: Develop models & methods: create and models using effective field theory to analyze and predict the quantum properties of atomic nuclei. Quantify
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28 Feb 2025 Job Information Organisation/Company Chalmers University of Technology Research Field Physics » Mathematical physics Physics » Quantum mechanics Physics » Computational physics
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We are looking for a PhD student to join the Crypto Team and Security Group at Chalmers with Christoph Egger as main supervisor. Depending on the interests of the applicant, possible research topics
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in a scientific programming language (e.g., Python or Julia). Strong mathematical and analytical skills. A collaborative mindset and enthusiasm for teamwork. Desired: Experience in modeling quantum
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of digital communications and signal processing. High grades in the core courses are required. Skills in mathematical analysis, modeling, and network algorithms are essential. Analytical thinking, eagerness