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to enhance the performance of sensing systems by leveraging very large memories while extracting precise and nuanced insights from data on edge devices that are constrained by power and communication. Our
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bioinformatics, epidemiology, systems biology, large-scale ‘Omics data analysis, human centric artificial intelligence, machine learning or large data management. We are seeking candidates whose expertise spans
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also oversee the assembly and characterisation of integrated electronic and silicon photonic devices towards state of the art, high-speed photonic data transmission. The EPSRC funded project is led by
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with geotechnical engineering experience, geophysical data analysis and machine learning skills. The Research Fellow in Intelligent & Resilient Ocean Engineering – Geoscience will join a large community
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, based in the School of Chemistry to support the Physical Sciences Data Infrastructure (PSDI– www.psdi.ac.uk ) project and as part of the wider Faculty Operating Service. Successful applicants will be
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the School of Chemistry, to support the Physical Sciences Data Infrastructure (PSDI – www.psdi.ac.uk) project and as part of the wider Faculty Operating Services. You will work closely with PSDI internal and
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print, large format print and signage print & installations. The Signage Technician role sits within our Large Format & Signage function and joins our existing Signage Specialist and Large Format
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welcome applications from scholars working to tackle largescale, globally relevant problems, using advanced computational methods (e.g. big data/machine learning/artificial intelligence/modelling/remote
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interpretability of Bayesian models. You will apply your research outputs to audio data with the aim to predict sound field attributes that are perceptually relevant to human listeners. We are seeking candidates
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the area of deep representation learning for audio data. The position is available on a fixed term basis for 18 months due to funding restrictions, with the possibility to extend the contract