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, or materials characterization. Experience with CT reconstruction or analysis software (e.g., Dragonfly, Avizo, VGStudio MAX, or similar). Experience with scientific data analysis software and image processing
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spectrometry-based proteomics data. Research projects will center on advancing the FragPipe computational platform, including new modules for DIA mass spectrometry data analysis. The successful candidate will
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a planned randomized experiment. The fellow will be involved in data cleaning, data analysis, design of the experiment, academic and policy writing. The candidate will work under the supervision
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contribute to the conduct and analysis of the process evaluation using established guidance, undertaking data collection and analysis and preparing outputs to inform interpretation of trial outcomes by
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the information provided on our website to self-assess whether the University is likely to be able to support a visa application - http://go.qub.ac.uk/internationalstaffsupport . Candidate Information
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(m.kalkowski@soton.ac.uk ) Where to apply Website https://www.timeshighereducation.com/unijobs/listing/409452/research-fellow-in-… Requirements Additional Information Work Location(s) Number of offers
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, predictive synthesis optimization, and high-throughput data analysis. Develop novel synthetic methodologies and characterization approaches for advanced nanomaterials, leading to high-impact publications and
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leading and managing health services research and evaluation projects • Experience conducting quantitative research, including design and collection of survey data, processing and analysis of large data
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machine learning methods as well as in biological data analysis are needed for the position. The postdoctoral researcher will play a leading role in this research, including methods development, data
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data management and ensure implementation of agreed quality control and assurance systems to ensure a consistent and standardised approach across studies and teams Conduct analysis of data and summarise