365 computer-programmer-"https:"-"https:"-"https:" positions at University of Sheffield
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BBSRC Yorkshire Bioscience DLA Programme: Signalling complexes and cell wall changes during plant reproduction
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. The research will integrate advanced full-field imaging techniques, including X-ray computed tomography, neutron tomography, and related methods, with modern machine-learning approaches such as sparse regression
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energy physics software GEANT4 as a case study. This is a widely used program that simulates how particles move through matter. GEANT4 underpins experiments such as ATLAS at CERN’s Large Hadron Collider
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Finding and measuring growing black holes in the next generation of astronomical surveys
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or Computer Science. Specifically, applicants must demonstrate experience in writing tools to address flaky tests and have encountered them in practice, including the implementation of mitigation
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. To fill in this gap, in collaboration with industrial partners, the research will develop novel Machine Learning and Computer Vision methods for detecting and localising. These will be used to develop
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constitutive relationships directly from data, ensuring both predictive accuracy and interpretability. The project places strong emphasis on rigorous mechanics, inverse modelling, and computational
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Explainable and Causal AI for Visual Analytics in Regenerative and Climate-Smart Agriculture (C3.5-COM-Cruz Villa-Uriol) School of Computer Science PhD Research Project Competition Funded Students
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programme, enabling them to develop novel experimental characterisation techniques to study the flow behaviour of DFCs, and subsequently develop a constitutive material model to be incorporated into a virtual
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leading plant science clusters, with access to advanced growth, imaging, genomics and computing platforms. Main duties and responsibilities Design, plan, and conduct experiments in controlled laboratory