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for a Research Fellow in Bioinformatics/Computational Biology to help develop, coordinate, and conduct robust analysis of high-throughput host protein data under supervision using advanced analytical and
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microbial genetics and sequencing High level analytical capability Ability to communicate complex information clearly Ability to contribute to developing new protocols and techniques Ability to assess
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specialism. Demonstrable ability in planning, undertaking and project managing research to deliver high quality results. Ability to communicate complex information clearly, to a wide audience. Strong report
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UKESM1 or similar models, advanced data analysis and machine learning, would be advantageous. Grade E: You will be near completion of a relevant PhD or have equivalent research experience, and be able
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immune responses Substantial experience in using flow cytometry to analyse in vivo immune responses High level analytical capability Ability to communicate complex information clearly Ability to contribute
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or similar qualitative data analysis software (desirable) Competence in using Microsoft Office and Outlook Ability to communicate complex information clearly and effectively High-level analytical and problem
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. The successful candidate will work in close association with teams consisting of laboratory-based and clinical researchers to deliver the project. Experience with analysis of transcriptomic data is essential. Role
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of secondary particles, including atmospheric nano-particles. The successful candidate will work with Professors Zongbo Shi and other team members to analyse aerosol and gas mass spectroscopic data, carry out
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the field of cancer and trials). High level analytical capability. Ability to communicate complex information clearly. Ability to assess resource requirements and use resources effectively. Ability
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for the entire project from polymer synthesis, crystallisation-driven self-assembly, characterising data collection interpretation. Training will be provided in all of the component techniques but demonstrable