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understanding of the polymer network morphology and how it relates to the laser process parameters. Specifically, you will carry out high resolution Raman imaging on laser written polymer networks with liquid
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inclusive benefits to staff, including flexible working, Enhanced Parental Leave, funds for Parents and Carers, and the potential to join community staff networks. About the role You will join a team of
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learning architectures including generative models, particularly for sequence or structural data (e.g. transformers, graph neural networks) Proved experience in working independently and as part of a
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networks. This position is part of a UK-Canada Quantum for Science collaborative project "Quantum network applications in theory and practice" funded by STFC/EPSRC (UK) and NSERC (Canada), led by Professor
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access to world-class imaging facilities and a vibrant interdisciplinary network. Informal enquiries are welcome and should be directed to Professor Betty Raman (betty.raman@cardiov.ox.ac.uk ). Only
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access to world-class imaging facilities and a vibrant interdisciplinary network. Informal enquiries are welcome and should be directed to Professor Betty Raman (betty.raman@cardiov.ox.ac.uk). Only
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global extinction risks and climate impacts embedded within international wood trade networks, enabling robust attribution of environmental impacts from harvest to consumption. These will be used
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-established data resources accessed within a secure Trusted Research Environment for large-scale analysis. This role offers excellent opportunities to engage with a broad network of collaborators including
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Nurses Network. Working closely with Dr Marion Waite and her team, you will support the recruitment of participants, as well as multi-site and multi-method data collection in person at specific NHS sites
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Nurses Network. Working closely with Dr Marion Waite and her team, you will support the recruitment of participants, as well as multi-site and multi-method data collection in person at specific NHS sites