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respectful and fair for all. Find out more about the benefits of working at the University and what it is like to live and work in the Durham area on our Why Join Us? - Information Page The Role Applications
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scientific publications, patents, and seeing collaborators translate our work into real-world settings. You will be responsible for developing machine learning and AI algorithms for a range of data and
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data; organize and archive data, consent forms, and ethics paperwork in line with project and KCL policies; and deliver periodic presentations and written fieldwork reports to the Principal Investigator
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DPhil students, manage data analysis pipelines, and contribute to publications and grant writing. This post is ideally suited to someone aiming to secure a long-term fellowship and build an independent
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lab has developed the OrthoFinder comparative genomic methods. OrthoFinder has become widely-used in comparative genomics research, it powers many popular databases of online genomic information, and
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experiments, developing and running bespoke NMR experiments, collating data/recording the results, undertaking analysis and conducting literature analysis as appropriate. The post holder will help to prepare
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DPhil students, manage data analysis pipelines, and contribute to publications and grant writing. This post is ideally suited to someone aiming to secure a long-term fellowship and build an independent
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of data presentation at scientific meetings. Application Process The closing date for applications is noon on 16th September 2025. What We Offer As an employer, we genuinely care about our employees
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programming skills for data analysis. Excellent organisational and communication skills as well as ability to work as part of a team are essential. This is a fixed-term appointment available for 1 year. If you
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neurosurgical centre. In this role the successful candidate will develop deep learning algorithms and validate models on diverse clinical data which include magnetic resonance imaging (MRI) and computed