1,444 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "University of Waterloo" research jobs in United Kingdom
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, environmental history and contemporary heritage policy. In this role, you will collect and analyse archaeological and environmental data from the Middle East, developing critical insights into premodern landscape
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to experimental design, data analysis, and the preparation of research publications, while working collaboratively with researchers across materials science, nanotechnology, and bioengineering. The successful
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and office working each week What next Further information is available in the role profile. To apply for this vacancy please click ‘Apply Now’ to complete your details. Please contact (Dr Peter
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failure to provide this information will mean that the application will not be considered. An answer to any of the criteria such as "Please see attached CV" will not be considered acceptable. Please note
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under the Skilled Worker Route. Applicants wishing to consider the SWR must ensure that they are able to meet the points requirement before applying. There is further information about this on the UK
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. The successful candidate will play a central role in data collection, analysis, and interpretation, helping to bridge traditional animal science with AI tools. Key responsibilities will include: Assisting in
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genetic data Apply knowledge in a way which develops new intellectual understanding of transcription control Disseminate research findings for peer reviewed publication, research seminars conferences and
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, subject to change. Fixed-term: The funds for this post are available until 31 August 2030 in the first instance. To apply online for this vacancy and to view further information about the role, please click
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interpret data from flood risk models and GIS datasets Disseminate research findings for publication, research seminars etc Contribute to developing and applying flood risk models, and develop techniques
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critically endangered Southern Resident killer whales. This project will use a unique 50-year dataset on this population, alongside comparative data from other mammalian societies, to understand how and why