491 computer-science-intern-"https:"-"https:"-"https:"-"https:" positions at University of Sheffield
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et al. Scientific reports. 2021. https://doi.org/10.1038/s41598-021-99065-7. 2. Taylor DJ et al. Computers in Biology and Medicine. 2024. https://doi.org/10.1016/j.compbiomed.2024.108299 View
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studying a STEM subject with a clear understanding of the application of Computer Vision and digital technology in the manufacturing environment. We are looking for diverse abilities, including good
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(gillian.tomlinson@sheffield.ac.uk) Link to website: https://sheffield.ac.uk/smph/people/academic/clinical-medicine/gillian-tomlinson Eligibility: Open to International (including EU) and UK (home) students. You can
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team has extensive experience and expertise in behavioural ecology, evolution, reproductive biology & conservation science. Further information can be found via: https://www.sheffield.ac.uk/aps/research
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Funded PhD studentship in AI-assisted materials discovery at the UK National Epitaxy Facility
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. Due to the interdisciplinary nature of this programme, we welcome applications if your background is in any biological, chemical or physical science or mathematics and are interested in using your
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degree or equivalent. Due to the interdisciplinary nature of this programme, we welcome applications if your background is in any biological, chemical or physical science or mathematics and are interested
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Automatization and Digital Enhancement of Characterisation Techniques: Joining the Dots between AI, Machine Learning and Materials Advances
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AI-assisted grading of end-of-life wind turbine composite materials for a circular economy
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skills and technology For informal enquiries about the project, please contact Dr Catarina Henriques (c.m.henriques@sheffield.ac.uk) Link to website: https://sheffield.ac.uk/smph/people/academic/clinical