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and machine learning. Topics of interest in this area include, but are not limited to: natural language processing, large language models, graph learning, prompt engineering, knowledge graphs, knowledge
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conducted in close collaboration with Everllence (formally known as MAN Energy Solutions). The developed methods have to be tested in simulation and on real engines. Previous Work https://openreview.net/pdf
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motivated with strong written and oral communication skills. Preferred Qualifications: Experience with first-principles calculations, DFT, Machine Learning, HPC. The individual is expected to actively pursue
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. Additional comments Mentor: Matej Hoffmann, Faculty of Electrical Engineering, Dept. Cybernetics, matej.hofmann@fel.cvut.cz , https://sites.google.com/site/matejhof https://scholar.google.ch/citations?user
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17 Jan 2026 Job Information Organisation/Company Lunds universitet Department Lund University, LTH, Department of Energy Sciences Research Field Engineering Researcher Profile Recognised Researcher
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The School of Engineering conducts internationally renowned research alongside teaching that places students at the centre of the learning experience. The School of Engineering holds an Athena SWAN Bronze
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internationally recognised academic environment with over 400 employees and 10 research sections. We broadly cover digital technologies within mathematics, data science, computer science, and computer engineering
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that preserves object identity or style. They should have a solid publication record in top-tier computer vision conferences such as CVPR, ICCV, or ECCV, and demonstrate proficiency in deep learning frameworks
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University of North Carolina Wilmington | Wilmington, North Carolina | United States | about 23 hours ago
electrical or computer engineering; and physics and electrical engineering, are also offered in the college. Post-baccalaureate certificate programs in environmental studies, applied statistics, and geographic
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located at SciLifeLab in Stockholm. Our research is focused on cell biology, spatial proteiomics and machine learning for bioimage analysis. The aim is to understand how human proteins are distributed in