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Analysis for Stable AI” funded by a European Research Council Advanced Grant. The Opportunity: This postdoctoral position will be devoted to research on algorithms in Artificial Intelligence (AI) from
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Photonics for the scale up of quantum sensors (S3.5-ELE-Smith)
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species interactions and with the environment. Holistic, community-level approaches are still largely missing. In this project, the DR will develop state-of-the-art AI algorithms to monitor and predict
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to tight and competing deadlines. Desirable Application/interview In depth knowledge of sensors used in measurement and control systems such as Lvdts, Potentiometers, Encoders and Bridge based sensors
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decoherence dynamics and other effects of quantum-classical correlations in complex fluid solvents. The methodology will be largely based on Lie group methods and structure-preserving algorithms in geometric
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passive acoustic monitoring (AudioMoth sensors) and satellite remote sensing to understand how the Critically Endangered Great Green Macaw (Ara ambiguus) uses the landscape across seasons, and how its
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an outstanding reputation in research, teaching, and student employability. Our internationally recognised research covers Algorithms and Complexity, Artificial Intelligence and Human Systems, Networks, Scientific
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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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. These will be used to build the next generation of quantum sensors capable of measuring and mapping magnetic fields and magnetic fluctuations in quantum materials. You will participate and be part of
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Researcher will influence the direction of application areas and algorithm development, receiving direct training in InSAR processing, geospatial data science, and agricultural remote sensing. Co-supervision