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Field
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the position A three-year position as Postdoctoral Research Fellow inQuantum Machine Learning for Multimode Mechanics (QM3L / QuantERA 2025) is available at the Department of Physics. Supervisors
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/business/research/research-centres/ ) blend leading theoretical perspectives with a strong emphasis on impact and engagement with practice, noted in www.durham.ac.uk/business . The school’s student
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statistics, logic, language technology, theoretical computer science, ethics, and machine learning in new ways. Its research focuses on developing ground-breaking methods and theories for addressing
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learning, with quantified uncertainty. The centre brings together perspectives and methodologies from statistics, logic, language technology, theoretical computer science, ethics, and machine learning in new
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actively driven surfaces. Specifically, the projects aim to uncover the fundamental physical principles that govern the coupling between active surfaces and their surrounding fluid environment, and to use
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, the candidate has significant flexibility to pursue their own approach and research agenda. The project proposal should above all include a tentative overall thematic and theoretical framework, along with
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, the project is in the process of employing one postdoctoral fellow. More about the position The PhD candidate will have as their core task WP2 on the case of wind power. The key research questions
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background in formal methods, logic, theoretical computer science, or related areas Strong background in computer science and mathematics Demonstrated interest in formal modelling, verification, or knowledge
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many areas of applied and theoretical statistics and data science, and is heavily involved in research at the crossing of statistics and machine learning. The focus of this postdoctoral fellowship is to
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) . The section engages in theoretical, experimental and numerical fluid mechanics. This includes technology for the green transition, marine hydrodynamics, hydrodynamic waves, and continuum mechanics. This project