1,444 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "University of Waterloo" research jobs in United Kingdom
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familiar with spatial analyses, species distribution modelling (SDM), and programming in the R or Python languages to apply these to: Collate and analyse spatial data on MPA boundaries, their protection
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provide information of what criteria will be assessed at each stage of the recruitment process. Further Information We pride ourselves on being inclusive and welcoming. We embrace diversity and want
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in aeroacoustics, with a strong emphasis on data analysis and a deep understanding of aeroacoustics fundamentals. Demonstrate excellent communication skills, both written and verbal, as evidenced by
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(s) will have to ensure that they have the right to work in the UK or be able to secure this through another means without the sponsorship of the University. Further information about sponsorship is
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data science techniques to model and classify population health risk and disease dynamics at multiple spatial and temporal scales. The PDRA will lead the development of novel approaches for managing
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surveillance, and will contribute to the development of novel approaches for managing confidential spatial health data, including differential privacy and other secure geospatial data protocols. This research
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information Informal enquiries are welcome and should be made to Professor Ian Eperon on eci@leicester.ac.uk Applications for job share will be considered. As part of the University’s ongoing commitment
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agrifood systems and experience in research, data analysis and stakeholder engagement. You will demonstrate initiative and the ability to work both independently and as part of multidisciplinary and
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successful at shortlisting stage, please ensure you clearly evidence in your application how you meet the essential and, where applicable, desirable criteria listed in the Candidate Information document on our
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field data, the research assistant will help assess the accuracy, robustness and operational value of these algorithms for large-scale forest inventories and the detection of endangered species