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river system Develop, test and apply algorithms for the processing and analysis of satellite data drawing on the latest physics-based and/or data-driven techniques Contribute to work on the automation and
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for a 3-year fixed period, ideally starting in November 2025 or as soon as possible thereafter. Informal enquires should be directed to Prof. Anna Peacock (acp@orc.soton.ac.uk). Applications
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the Neurogenesis and Brain Cancer group led by Prof. Simona Parrinello. The team uses a variety of state-of-the-art technologies, including advanced imaging, single cell and spatial ‘omics’, barcoding, mass
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algorithmic foundations of quantum adversarial machine learning, an emerging field at the intersection of quantum computing and machine learning. It investigates how the unique capabilities of quantum computing
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signal processing Extensive research experience and scholarship on radar systems and signal processing, ideally for distributed radar sensors, and general knowledge of the effects of oscillator
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here, https://www.gov.uk/guidance/academic-technology-approval-scheme . The appointment is for 36 months, starting as soon as possible. Informal enquiries are welcomed and should be directed to Prof
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engagement workshops, with opportunities for travel to Tanzania. Role Summary Work with the study investigators (Prof. Sam Watson (University of Birmingham), Dr Penelope Hancock (Imperial College London) and
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analytical techniques, with a focus on quantifying energy output and sensitivity to initiation by external stimuli. The project will be jointly supervised by Prof. Colin Pulham in the School of Chemistry at
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that will work in the group of Prof Stefano Pagliara and will participate in the project “Understanding stereochemical selection across proto-cellular membranes”. The overarching aim of this project is
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Waite (Aston University) and Dr Jo Moss (University of Surrey). The successful applicant will join Prof Richards’ team: https://www.richardslab.org/ and the cross-institute Cerebra Network: https