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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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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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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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at workloads requiring large amounts of GPU memory or long run times. A vibrant, diverse, and inclusive academic community. Opportunities for professional development and career growth, e.g., mentorship of PhD
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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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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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national financial risk. We will build a digital shadow for the UKs economy which constantly ingests data from many sources, generates potential adverse scenarios, models and labels the scenarios, and uses
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funding stakeholders with a view to establishing large scale facilities for demonstrating and accelerating the adoption of novel and game-changing clean maritime technologies. You must be able to work both