352 computer-programmer-"FEMTO-ST"-"FEMTO-ST"-"FEMTO-ST" positions at University of Sheffield in United Kingdom
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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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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 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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Improving Deep Reinforcement Learning through Interactive Human Feedback
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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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Decarbonising construction: Advanced spectroscopic approaches to understand nanostructural development and phase evolution in high-performance, low-carbon cements School of Chemical, Materials and Biological Engineering PhD Research Project Directly Funded UK/EU Students Dr Brant...
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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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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