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data visualisation methods; training in the application of LLM-based analytical methods for both text and image). Experience, expertise and demonstrated success in delivering complex research projects
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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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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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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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. 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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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
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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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strong analytical skills and desirably some computer modelling experience, and an ability to work in a multidisciplinary team and engage confidently with partners. You will have a track record of
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be able to demonstrate the following skills: High level analytical capability. Ability to communicate complex information clearly, both in writing and verbally, to audiences with a scientific or more