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functional theory. In collaboration with Phasecraft, a leading quantum algorithms company, this project will explore the generation of new quantum computing datasets and the development of machine learning
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The Leverhulme Centre for Algorithmic Life is a major new interdisciplinary research hub dedicated to the study of how machine learning and AI algorithms are transforming societies. The Centre is
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University. Dr. Cheng Peng invites applications for a postdoctoral position supported by a Laboratory Directed Research and Development (LDRD) program. This appointment spans a 2-year timeframe. The
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locus-specific regulatory dynamics. This project addresses these challenges through an integrated computational and biological framework that develops advanced multi-read allocation algorithms leveraging
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
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Austrian Academy of Sciences, the Johann Radon Institute for Computational and Applied Mathematics (RICAM) | Austria | 18 days ago
19 Mar 2026 Job Information Organisation/Company Austrian Academy of Sciences, the Johann Radon Institute for Computational and Applied Mathematics (RICAM) Research Field Mathematics Researcher
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of statistical algorithms. Duties include undertaking your own programme of research and assisting with ongoing research programmes, using databases, modelling, and computation as appropriate; writing up results
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well as large-scale GPU computing facilities for deep learning. Our Lab aims to hire a Research Fellow to lead a research project on Real-World Deepfake Detection and Image Forgery Localization. The role will
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use the algorithms in practice, when little to no assumptions can be made on the data. Required Qualifications PhD in computer science, mathematics, statistics, or related fields (by the start date
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comprehensive pathway for students pursuing both transfer degrees and a Bachelor of Science in Computer Science. Through courses in programming, data structures, algorithms, software development, and emerging