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, estimation, and identification algorithms that directly interface with physical hardware. We work closely with industry partners. Our research has led to several methods now used in commercial products. We
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developing data analysis approaches and contribute to the overall study design and implementation. In particular, this will involve applying existing or even developing new algorithmic approaches for TAPS data
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developed goal-sequence generalization task. The project will integrate high-density silicon probe recordings, optogenetics, pharmacology and advanced computational tools to analyse neural algorithms
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Trust and is fixed-term for three years. This research position aims to develop machine learning algorithms to enable learning human ethical values from survey data. The postdoctoral researcher will
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algorithm development; · THz transceivers for high-frequency communication channel measurement and sensing; · Real-Time Digital Simulator (RTDS) and Solar & Wind Emulator for real-time
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endoscopists through a quantitative and qualitative assessment of the mucosal microstructure. You will be responsible for the algorithm development and implementation of the overall system. It is expected
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endoscopists through a quantitative and qualitative assessment of the mucosal microstructure. You will be responsible for the algorithm development and implementation of the overall system. It is expected
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. The individual will have responsibility for developing computational aspects of the SPACE study (#SPACE_Study ) centred on use of Visium spatial transcriptomics to interrogate the spatial and evolutionary
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into algorithms for the Lov sz Local Lemma and related problems in distributed and parallel models. Research will primarily be conducted in collaboration with Dr. Davies-Peck, but successful applicants will also be
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into algorithms for the Lovász Local Lemma and related problems in distributed and parallel models. Research will primarily be conducted in collaboration with Dr. Davies-Peck, but successful applicants will also be