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artificial intelligence methodologies. The successful candidate will work at the forefront of computational biology, developing novel approaches for large-scale genomic data analysis and contributing
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science methods, ideally to environmental health data, and conducting systematic reviews and meta-analysis. Further particulars are included in the job description. The post is full-time 35 hours per week
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Drakeley and Dr Julius Hafalla, primarily focused on immunoepidemiology, as needed. The post holder will be responsible for the generation and curation of laboratory and epidemiological data from different
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postgraduate students. Additional information Contract type: Fixed term with funding from 01/10/2025 until 30/09/2026 Work pattern: Part-time/0.2 FTE (to include Monday or Tuesday) Grade: Clinical Research
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are also open to discussing flexible working arrangements. Are you an ambitious and talented statistician with expertise in individual participant data meta-analysis (IPDMA) of clinical trials and
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different ML architectures for postprocessing precipitation forecasts over India. Determine how to maximise information extracted from the raw forecasts and how to optimise postprocessing skill for heavy
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science methods, ideally to environmental health data, and conducting systematic reviews and meta-analysis. Further particulars are included in the job description. The post is full-time 35 hours per week
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comprise both the development of bioinformatics pipelines and the application of novel machine learning methods for interpreting microbiome and host ‘omics data from faecal, intestinal biopsy and saliva
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intelligence to use all the information in the electronic patient record to best identify who is at risk of deterioration. We will then investigate how to use this information to escalate the care of women in
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Research Fellow: PLANET study: Planning for End of Treatment – sharing information to prepare children, young people and families to move into survivorship care when active treatment finishes