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of data for our submission to REF in November 2028. The role holder will work closely with a wide range of colleagues across the institution to coordinate and support the systems (e.g. RIS) and data
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presented in the International Image Interoperability Framework (IIIF) standard; A modern data platform to merge data from different sources into a linked data format (Linked Art) and, combined with a graph
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, plant transformation, plant breeding, computer vision assisted automated phenotyping, machine learning and AI. The role will require working with other institutional stakeholders to scope, design, equip
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assays, nucleic acid sequencing and analysis. You will hold an undergraduate degree in biomedical sciences with a working knowledge of data analysis including statistical analysis of data. Experience
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of technology which integrates robotics, computer vision, and data infrastructure to enable scalable, reproducible and data rich transformation platforms, supporting the team with subject matter expertise
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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 on our website. This post is
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clearly evidence in your application how you meet the essential and, where applicable, desirable criteria listed in the Candidate Information on our website. This post is available until 30 November 2028
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research project investigating the computational and neural principles by which multimodal information is encoded and combined in human perception. The research will combine computational modelling with
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reconciliation and compliance activities. This role is ideal for someone who enjoys working with data, following procedures, and using a questioning mindset to spot errors or unusual activity. If you are
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of your career, there is a role for you. We believe everyone has their own unique skills to offer. We would be thrilled if you would consider joining our thriving University. Further information about the