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for using data science to address real-world challenges in animal welfare and agricultural sustainability? We are seeking a Research Assistant or Associate in Data Science to join an interdisciplinary
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applicants must have (or be close to obtaining) a PhD in Computer Science, Information Engineering, Statistics, Chemistry, Biology, or a related area, with extensive research experience and a strong
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communication and teamwork skills Desirable Experience with life-history, developmental biology, or behavioural ecology experiments in small invertebrates Experience linking empirical data to modelling or theory
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Fixed-term: The funds for this post are available for 12 months in the first instance. The successful candidate will be based in the Department of Computer Science and Technology and will join the
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Experience with life-history, developmental biology, or behavioural ecology experiments in small invertebrates Experience linking empirical data to modelling or theory Experience with controlled laboratory
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benefit from the extensive and broad expertise in AI and biomedical computing at the School of Biomedical Engineering & Imaging Sciences. The work will be done in close collaboration with a
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-centric demography and will work closely with the PI and wider team. The postholder will lead modelling components of the project and contribute to integrating theory with empirical data. The NERC-funded
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able to obtain – the right to work in the UK by that date. For further information on The School of Engineering, please click here For full details about this vacancy and essential information on how
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skills and experience: Essential criteria Undergraduate degree (at least second class honours) in relevant bio/health-related or computer-science subject Previous experience working with neuroimaging data
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collated and stored in a ‘secure data environment’ (SDE). Notably, the last 5 years have witnessed a revolution in spatial biology technologies, enabling the mapping of what is present and where, revealing