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: Develop novel machine learning theories and techniques for analyzing noisy time-series data, with a particular focus on seismic signals Perform uncertainty quantification in time-series analysis to assess
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in NLP. Completed a PhD or equivalent qualification or research experience in machine learning, natural language processing and image processing. Emerging track record and recognition for quality
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-renewable-energy-engineering Skills & Experience: A PhD in Computer Science or a related field. Thorough theoretical background in machine learning and deep learning. Demonstrated experience in developing
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algorithmic foundations of quantum adversarial machine learning, an emerging field at the intersection of quantum computing and machine learning. It investigates how the unique capabilities of quantum computing
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UiO/Anders Lien 10th September 2025 Languages English English English Faculty of Educational Sciences, Department of Education PhD Research Fellow in Education focusing on Collaborative Learning
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Learning Apply for this job See advertisement Job description Applications are invited for a four-year position as PhD Research Fellow affiliated to the Department of Education, Faculty of Educational
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] Subject Areas: Theoretical Physics / Statistical physics Machine Learning Complex Systems Computational Science and Engineering / AI/ Machine Learning , Artificial Intelligence , Data Sciences , Machine
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an emphasis on technology, data science and the humanities. LKCMedicine is searching for a Research Associate/Fellow in the field of Learning Analytics (LA) / Machine Learning (ML) under Professor Andy Khong
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a postdoctoral candidate in the area of federated learning and wireless communications. The candidate must hold (or about to complete) a PhD in the related fields. The candidate will be involved in a
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by logging into their existing Workday employee account. Position Summary: This position will focus on developing robotics and cyber physical systems solutions, using machine learning and artificial