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Job Description The Department of Civil and Mechanical Engineering of the Technical University of Denmark (DTU) has an open PhD position on the topic of “Automation of tool wear measurement and data
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This project explores the use of state-space models (SSMs) for sequence modeling in large language models (LLMs), focusing on their CMOS-based hardware implementation. The PhD candidate will develop energy
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. This creates a large loss of value of strategically valuable raw materials and waste of energy related to material, cutting tools and parts production. The PhD project will therefore focus on automating and
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analyse your data You will be coordinating the collaboration with CCIT, which involves retrieving samples and clinical data from a team of doctors. You will have to present in lab and section meetings
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in working with large data sets and the development of numerical models. Basic knowledge of glaciology or geodesy. Good expertise in programming, e.g. in Python, MATLAB, or other high-level programming
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the research team of the Marine Ecology Group that manages large-scale ecosystem restoration projects in several Danish estuaries. The candidate must have an MSc degree in biology or equivalent and should have a
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professor, one assistant professor, one postdoc, and a large number of PhD students. The project includes strong partnerships with the University of Leipzig (Bioinformatics, Prof. Peter Stadler
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large dataset analysis, improving decision-making processes for awarding grants to firms and scientists. The PhD project could aim at the following issues: Improved Funding Decisions: How can we make
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with strong interconnection between experimental and theoretical physics. We provide a large network of collaborators to develop ideas and new projects. Excellent experimental research infrastructure