419 computational-physics-"https:"-"https:"-"https:"-"https:" positions at University of Sheffield
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experience in a range of characterisation and multi-physics modelling capabilities. In carrying out the work, you will also be part of the Fusion Engineering CDT, and, along with your cohort of other doctoral
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Further Information Next steps in the recruitment process We plan to let candidates know if they have progressed to the selection stage within two weeks of the closing date. If you need any support
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tasks on time and to a high standard, ● Take a leading role in developing new ideas and assist others around to help contribute to the idea-generation process. ● Further develop your
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Topologically constrained physics-informed machine learning for modelling complex spin textures (S3.5-COM-Ellis)
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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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confidentiality. Why does this matter now? Wearable devices have made round-the-clock health data commonplace, cloud computing places vast processing power at our fingertips, and patients are demanding care
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BBSRC Yorkshire Bioscience DLA Programme: Defining the Reproductive and Offspring Developmental Impacts of e-Cigarettes
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robot cooperative localisation are some of the main tasks of this project. A particular focus will be given to spatio-temporal methods such as Kriging, known also as Gaussian process regression, Bayesian
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@sheffield.ac.uk and/or Will Collier (Executive Assistant to Head of School) at w.collier@sheffield.ac.uk Next steps in the recruitment process It is anticipated that the selection process will take place in
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complexity, classical control techniques cannot be easily applied because of computational bottlenecks or an absence of suitable prediction models. Distributed control approaches have been conceived to handle