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: Computational methods development and consortium data management for the Human Virome Program, with the mandate to characterize viral (phage and eukaryotic) communities across the human body in health and disease
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research findings through high-quality publications in top-tier venues. Supervision and Researcher Development: Contribute to the effective supervision of Honours and Higher Degrees by Research students (as
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to develop your own research project within the programme with opportunities to focus on either analysis of MRI imaging, cerebrovascular physiology, or other effects of treatment, depending on prior skills and
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research building on previous research from the Silvi research group. The research will focus on the development of novel reactions based on photoredox-radical chemistry. The new radical processes will be
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Propose and develop state-of-the-art methods to overcome existing problems. Train and evaluate the models and systemically compare them with recent models. Prepare papers and reports. Develop systems based
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. Publish research findings in top-tier IEEE journals and present at leading conferences. Collaborate with the team to develop innovative solutions for improving the reliability of power electronic devices
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the UK) and work within the Department of Cancer and Genomic Sciences. Their main role will be to apply and develop new methods for precise genome manipulation to create transgenic reporter models
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and validate a prototype microscope with enhanced sensitivity and contrast, evaluate label‑free and fluorescence imaging modes, and develop robust hardware/software workflows for low‑light measurements
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liten datafil som lagres på datamaskinen, nettbrettet eller mobiltelefonen din. En cookie er ikke et program som kan inneholde skadelige programmer eller virus. Hvordan nettsiden bruker cookies Cookies er
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Studies. Working under the supervision of Professor Rita Abrahamsen (Chair of African Studies), the successful candidate will develop and pursue an ambitious and original programme of research within