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complex behaviours, including learning, in the small invertebrate model organism C. elegans. We have recently discovered a range of novel dopamine receptors in C. elegans and found that different receptors
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-depth characterisation and annotation of these metabolomes using multistage fragmentation (MSⁿ) data, incorporating novel computational methods and strategies (e.g. spectral matching, network-based
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The University of Southampton is committed to excellence in all we do, applying our insights and inventiveness to solve complex engineering and environmental challenges. As a world-leading, research
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, reasoning, neural network quantisation, on-device machine learning, and benchmark development. About the research group. Machine learning (ML), or “AI” as it is referred to by the media, has been the driving
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appropriate, complex or longer-term support. Provide and schedule regular and accessible opportunities for students to engage with wellbeing services both face to face, and online. Manage and prioritise a high
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to engage actively in their children’s education while building strong networks of community organisers who drive meaningful change at both local and national levels. The postholder will act as the main
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future where both people and the planet thrive, we focus our science on solutions from and for nature. With strong and rewarding connections with a wide network of museums, universities, research
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for the Institute. We seek an exceptional candidate with a track record of leadership in complex high-ambition organisations who shares the mission to make leaps in AI and data science to change the world
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analytical and problem-solving skills. Appropriate and relevant experience of being a team leader in a complex organisation is required, and you will have an aptitude and willingness to contribute. In return
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. This covers topics such as uncertainty quantification and reliable decision-making, multi-agent systems, reasoning, neural network quantisation, on-device machine learning, and benchmark development. About the