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Field
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development of algorithms and large-scale numerical simulations. Your expertise will extend to various areas, including quantum Monte Carlo, machine learning, quantum computing, quantum machine learning, and
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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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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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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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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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pressure monitoring by developing personalised AI models and algorithms incorporating Photoplethysmography (PPG) measurements Working at InfoHealth’s offices in Coulsdon, Surrey, with visits to CSGUoL
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Internal Number: 25301 SOFTWARE DEVELOPER 2, Computer Science and Artificial Intelligence Lab's(CSAIL) - The Infrastructure Group(TIG), participates in the full life cycle of application development
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University of Massachusetts Medical School | Worcester, Massachusetts | United States | about 5 hours ago
-off type of analysis requests. Develop novel algorithms and integrated data visualization applications when existing software packages are not available or adequate. Properly document the procedures
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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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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