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empirical evidence. The project runs for 33 months and comprises three research components operating in parallel, each led by a postdoctoral researcher and integrated through monthly team meetings and
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humans, the postholder will design and run high-density EEG studies in which participants perform cognitive flexibility tasks to characterise the neural signatures of adaptive decision-making. In parallel
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and parallel computing; our work frequently appears in the top conferences of the field (recently e.g. STOC, SODA, ICALP, PODC, and DISC), and we have received a number of awards, e.g. the best paper
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information sciences. In parallel with basic research, we develop ideas and technologies further into innovations and services. We are experts in systems science; we develop integrated solutions from care
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empirical evidence. The project runs for 33 months and comprises three research components operating in parallel, each led by a postdoctoral researcher and integrated through monthly team meetings and
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empirical evidence. The project runs for 33 months and comprises three research components operating in parallel, each led by a postdoctoral researcher and integrated through monthly team meetings and
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sphingolipid transport systems. You will determine high resolution single particle cryo-EM structures of sphingolipid transporters. In parallel, you will assess sphingolipid-transporter interactions and the role
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interact with parallel experimental work (EEG, eye-tracking, pupillometry) conducted within the same project. What we are looking for; we are particularly interested in candidates with a background in
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by Professors Deborah Gill and Steve Hyde. You will be part of a multi-disciplinary team developing Lentiviral derived nanoparticles (LVNPs) to treat rare diseases and will be keen to participate in
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multilingual source material. You will have a strong understanding of deep learning and natural language processing, with practical experience of training, adapting and deploying large language models. You will