352 computer-programmer-"University-of-St"-"University-of-St" positions at University of Sheffield
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the recruitment process It is anticipated that the selection process will take place mid November 2025. This will consist of Portfolio review and Interview. We plan to let candidates know if they have progressed
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of a technical activity. We plan to let candidates know if they have progressed to the selection stage on the week commencing August 2025. Contact Emma Kenny-Levick, e.l.kenny-levick@sheffield.ac.uk
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/smph For informal enquiries about this job contact Viren Ranawana at v.ranawana@sheffield.ac.uk Next steps in the recruitment process We plan to let candidates know if they have progressed
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Interplay between Algorithms and Combinatorics School of Computer Science PhD Research Project Directly Funded Students Worldwide Prof Parinya Chalermsook Application Deadline: 31 July 2025 Details
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practical assessment. We plan to let candidates know if they have progressed to the selection stage on the week commencing 29th September. Contact Laura Haslam (l.haslam@sheffield.ac.uk ) if you require any
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the other network activities as required, in particular supporting workshops, contributing to their write up and engaging with the co-design group who meet monthly. Main duties and responsibilities Plan
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of an interview and a practical assessment. We plan to let candidates know if they have progressed to the selection stage on the week commencing 29th September. Contact Laura Haslam (l.haslam@sheffield.ac.uk
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process It is anticipated that the selection process will take place on Wednesday 1st October. This will consist of an interview and a practical assessment. We plan to let candidates know if they have
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of agricultural weeds to herbicdes from an eco-evolutionary perspective. This project will develop models for the evolution of herbicide resistance that combines field data and computer models. The aim is to
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preferences for them using birds as a model system. Capitalising on recent advances in computational neuroscience and machine learning, specific objectives are to (1) quantify common design features of avian