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highly qualified, self-motivated post- doctoral fellow to join our research program in computer-aided diagnosis and AI (CAD-AI). Responsibilities* The research will involve development of decision support
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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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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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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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. 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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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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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 3 hours ago
. The position will assist with Ethics applications, help with coding, organisation of data and preparation for publications; support organisation and running of symposium and the development of journal special
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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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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