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Field
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language processing approaches to analyse large-scale textual data from scientific publications, patents, industry documents, and policy sources. The work includes creating reproducible workflows for processing
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learning (RL), which is data-driven, are two powerful control techniques. MPC techniques are well-established, while RL techniques are gaining popularity due to increasingly available sensor and meter
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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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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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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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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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, 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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computational analyses of large amounts of data generated within biological, biomedical and biotechnological and life sciences area. We strive to gain new knowledge and drive innovation in human, animal, plant
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solutions to the challenge of handling and interpreting large scale and heterogeneous big data. DTU Health Tech With a vision to improve health and quality of life through technology, DTU Health Tech engages