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data, working to a preregistered Statistical Analysis Plan. The research applies target trial emulation, to generate robust and policy-relevant evidence. Working closely with the research team
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internal institution systems may be submitted. Click here for detailed information about acceptable transcripts. A current resume/CV, including academic history, employment history, relevant experiences
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, complications, and longitudinal neurologic, functional, and patient-reported outcomes. The registry serves simultaneously as a prospective observational data resource and as the trial-enabling infrastructure
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. Her team is investigating biological processes that are critical to the progression of cancer and other diseases by using quantitative super-resolution microscopy. For more information on the Jovanovic
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Research Associate, Translational Research Fellow - Dept. Ophthalmology Visual & Anatomical Sciences
/research protocols as required. Communicate with principal investigator and Postdoctoral scholars/fellows on the status of research. Collect and log laboratory results, clinical outcomes and/or survey data
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through all stages including implementation and supporting sites in recruitment, regulatory approvals, data collection and integrity, data presentation and working with translational samples. The post is
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of clinical trials, focussing on supporting clinical trials through all stages including implementation and supporting sites in recruitment, regulatory approvals, data collection and integrity, data
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London School of Hygiene & Tropical Medicine; | London, England | United Kingdom | about 15 hours ago
data, working to a preregistered Statistical Analysis Plan. The research applies target trial emulation, to generate robust and policy-relevant evidence. Working closely with the research team
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this exciting role, you will focus on the annotation and analysis of genomes from protists and other microbial eukaryotes. This work integrates multi-omics data and involves benchmarking and developing methods
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learning algorithms to support research in IDMxS. Key Responsibilites: Apply/ improve/ develop machine learning algorithms to process (e.g., classify, predict) data/ images collected by IDMxS. Help supervise