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control. You will have interests in how integrated schistosomiasis control measures can be built into water management development. You will have strong analytical skills and desirably some computer
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inversion of gravity gradient data, contribute to the development of data interfaces for multi-modal sensor integration, and perform advanced data processing and inference to support subsurface imaging and
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natural fracture cements using a range of analytical techniques. In addition, you will perform post-mortem microstructural and microchemical analyses of fracture cements in samples deformed in laboratory
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-economic assessment and life cycle analysis methodologies. • Proficiency with modelling and simulation software relevant to TEA and LCA. • High analytical ability to analyse and illuminate data
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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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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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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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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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. 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