496 computer-science-quantum-"https:"-"https:"-"https:"-"https:" positions at University of Sheffield
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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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. 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
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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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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 in using your
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. This interdisciplinary project will combine cell and molecular biology, bioengineering, and computational approaches to explore how ECM stiffness regulates ribosome biogenesis. You will work with state-of- the-art
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., 2022 Current Biology 32: 3170-9), building on a BBSRC-funded project with European collaborators. For informal enquiries about the project, please contact Dr Lisa Smith Link to website: https