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Computational Astrochemistry/Algorithm development for Quantum Dynamics Calculations School of Mathematical and Physical Sciences PhD Research Project Self Funded Prof AJHM Meijer Application
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will play a pivotal role in developing advanced algorithms for cardiotocography and fetal ECG analysis. In this position, you will manage and innovate next-generation algorithms, focusing on both
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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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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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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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: Develop feedback interface to transmit useful information that is beyond human natural sensory channels. Design robot environment perception algorithms with multi-sensory feedback. Investigate optimal form
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to research and teaching in algorithms and computational complexity. While the focus of this appointment is algorithms and complexity, exceptional applicants from all areas of Computer Science will be
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. In particular they will play a leading role in algorithm emulator development and maintenance as well as coordinating the definition and testing of interfaces to the Level-1 Trigger system. It is
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with key Analysts and the Research Data & Evidence team you will be responsible for managing work areas from the design and development of funding algorithms and quality assurance processes to delivery
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with emerging neuroscience evidence that synapses perform nonlinear transformations rather than merely transmitting signals. This project aims to develop and analyse local learning rules for KANs