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exciting project that will develop new approaches to handle missing data in statistical analyses based on machine learning methods. The Research Fellow will be based in the Department of Medical Statistics
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macroinvertebrate sample processing in the laboratory including picking of invertebrates from the samples and subsequent identification, processing of sedimentological samples, to input processed data
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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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responsibilities include working with communities to understand complexity, collecting and analysing data, and reporting to a range of audiences. About the person: Essential Criteria: An upper second-class honours
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or middleware A proven track record of using experimental models to carry out analyses, critical evaluations, and interpretations of experimental data as relevant to the research project Working effectively as
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they are no longer eligible for the SFVS to see if things change. Quantitative and qualitative data will be collected through interviews and focus groups. A Research Fellow will also be appointed at Northumbria
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Worker visa route but first-time applicants might need to qualify for salary concessions. For more information, please visit the Government’s Skilled Worker visa page. For research and academic posts, we
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of the responsibilities outlined below Design and conduct bioinformatic data analysis pipelines under the guidance of the research supervisor to test the project hypotheses and complete project aims Develop research
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responsibilities include working with communities to understand complexity, collecting and analysing data, and reporting to a range of audiences. About the person: Essential Criteria: An upper second class honours
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to find out further information. The Institute of Cancer Research, London, is one of the world's most influential cancer research institutes, with an outstanding record of achievement dating back more than