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customization of Large Language Models for educational purposes. The ideal candidate must have a strong professional network and documented collaboration capabilities, alongside a proven track record in
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Job Description SDU Center for Large Structure Production (LSP) , part of the Maersk Mc-Kinney Moller Institute , University of Southern Denmark (SDU), invites applications for a fully funded PhD
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analytical chemistry, spectroscopy, medical devices, sensors, bioanalysis, and if possible large data analysis. You are highly independent, self-motivated and enjoy collaboration in a multidisciplinary
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no footprint on the seabed. Boulder reefs and concrete reefs will be deployed during the spring 2025 and surveyed afterwards. Pre-reef data were collected in 2023 and are also available for your project. Both
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have a long-term involvement in applied and interdisciplinary research, big data and data science, artificial intelligence (AI), the Internet of Things (IoT), smart and secure societies, smart
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, the focus of the PhD project is to develop a methodology to digitalize the recycling line of spent LIBs from EVs for a large-scale application, while integrating existing research. Specifically, the project
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interest in sustainable energy Quantitative skills and experience with data mining and handling big datasets Excellent communication skills, both in writing and oral presentation Open-minded team player
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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
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Economics, Business Administration, Political Science, or similar. The scholarship runs for three years. The PhD will be supervised by Associate Professor Anthony Wray. Data digitization using large language
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goals Teach and co-supervise BSc and MSc student projects Participate in Arctic field campaigns We expect you to have: Experience in working with large data sets and development of algorithms. At least