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Field
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, the project seeks to develop innovative computational techniques and theoretical insights that extend the frontiers of both fields. It focuses on leveraging recent breakthroughs that combine algorithmic
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inference. The role will bridge rigorous theoretical work with hands-on algorithm design and development on real-world datasets. The core responsibility is to build and validate federated causal inference
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in the 2025 QS World University Rankings by Subjects. We are hiring a Research Fellow in Signal Processing and Machine Learning to develop signal processing and machine learning algorithms and methods
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We are looking for a motivated Senior Research Associate in Algorithms and Complexity Theory. What We Offer The University of Oxford is a stimulating work environment, which enjoys an international
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students to become experts in a specific domain of choice. This vacancy is explicitly targeted at candidates interested in algorithmic biases and developing methodological approaches to tackle this challenge
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development of model predictive control algorithms for autonomous robots. Key Responsibilities: Development of model predictive control algorithms for autonomous robots Job Requirements: A Master degree in
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-cases of classical supercomputers, the development of quantum CFD algorithms will be of widespread benefit upon the arrival of fault-tolerant quantum computing. This project involves the adaptation
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computational counting and sampling, including developing new algorithms and analysis techniques. Typical tools and topics are Markov chains Monte Carlo, Lovasz local lemma, high dimensional expanders, geometry
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. The successful candidate will assist in developing novel algorithms and integrating them into robotic platforms, helping to push the boundaries of embodied intelligence in both research and practical deployment
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to publications, and attend conferences and workshops, for disseminating research findings. Travel support is possible. Key Responsibilities: Developing state-of-art algorithms for massive datasets Writing