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advantage: Boris, DataVyu, or similar video coding software Team management Cross-cultural research, esp. multi-sited collaborations Advanced statistical analysis skills, esp. relational event modelling
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science, artificial intelligence (AI) including machine learning, and statistics, and ideally experience in the application of data science and AI to medical datasets. You will be expected to manage and
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of experimental design, isotope and statistical analysis of the project data and contribute significantly to the project's success. You should be able to demonstrate experience and capability in field and
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is essential, as well as a high level of expertise in R coding and the application of statistics to multivariate datasets. The person hired will be required to travel to the Royal Botanic Gardens
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searches, data set curation, and the statistical evaluation software used for limit setting or discovery. They will contribute to LZ operations and performance optimization. This will involve adapting
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is essential, as well as a high level of expertise in R coding and the application of statistics to multivariate datasets. The person hired will be required to travel to the Royal Botanic Gardens
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. The main focus of Centre for Advanced Cardiovascular Imaging is to apply statistical, multi-omics and machine learning approaches to national-scale imaging studies. About Queen Mary At Queen Mary University
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imaging data, using conventional analyses and machine learning, to provide new evidence of pathogenicity of proteins and pathways across MSK diseases. You will provide bespoke statistical analysis plans
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, this project will provide a perfect platform to further enhance your skills. You will gain an in-depth understanding of experimental design, isotope and statistical analysis of the project data and contribute
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the application of statistics and AI methods is desirable. Additional information: Interviews will be held on 20 June 2024. For further information and details of how to apply, please click on the 'Apply' button