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waste feedstocks. You will undertake electrochemical and analytical characterisation, quantify lithium recovery and product purity, and contribute to demonstrating the production of high-purity lithium
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processing, MIMO and beamforming, waveform/transceiver design, radio-resource management, environment reconstruction or AI/ML for wireless systems. Excellent mathematical and analytical ability, supported by
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. The research will involve developing analytical models, performing large-scale numerical simulations of open quantum systems, investigating decoherence and noise processes, and exploring new architectures and
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. Strong experience integrating EEG with non-invasive electrical brain stimulation, particularly tRNS. Strong experience investigating individual differences in learning and cognition Experience applying
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strong international track record in content provenance and authenticity research spanning computer vision, watermarking, machine learning, privacy-preserving technologies and open standards. We have
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the speed up from using GPUs as well as machine learning techniques, e.g. simulation-based inference. Finally, we will use similar techniques to make a statistical inference of the population of subhaloes by
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streams with perturbation signatures and fit these. For these fits, we will explore the speed up from using GPUs as well as machine learning techniques, e.g. simulation-based inference. Finally, we will use