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an approved faculty mentor on an active research project, participate in laboratory/field work, and engage in professional development activities to build skills in research design, data analysis
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 3 days 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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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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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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area with the potential to drive significant improvements in health and healthcare. You will be based within the Leeds Institute for Data Analytics and part of the Leeds Institute for Cardiovascular and
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for the position. Contact information of three referees, who can provide a reference based on request and your relation to them. Mission Statement The mission of the University of Michigan is to serve the people
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the research team, by contributing to multiple research projects, including: • writing for ethics applications. • developing data collection tools. • recruitment of participants into studies and
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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
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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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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