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Field
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registry data and large linked datasets engage with clinical and consumer stakeholders, project managers and web developers on the translation of the findings from this research program into practice and
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the colleagues to develop and implement an ambitious quantitative research programme To develop new models for understanding key determinants of community connectedness To engage in data science debates, notable
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synthesis and evidence reviews Coordinating meetings to discuss the development of the programme of evidence reviews Providing briefings from evidence reviews and to draft full evidence review reports
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under the supervision of project and line managers. The role will include: Working with the colleagues to develop and implement an ambitious quantitative research programme To develop new models
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experiments would also be preferred. Proficiency in programming for experiments using z-tree and (or) o-Tree/Python would be necessary. Some knowledge of web development languages (HTML, CSS, Javascript) would
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for use by Flatiron scientists. The CCA's mission is to create, develop, and disseminate computational methods, tools, and frameworks that allow scientists to build or analyze big astronomical datasets, and
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’ coercive power. Our team of scholars and practitioners study a wide range of topics including economic development and people’s livelihood; grassroots governance and social autonomy; transformation
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with other bioinformatics to help test and develop web-based bioinformatics tools. Develop online and in-person training materials, including workshops to educate community members on how to use
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FSRF's research program. The CCA will provide mentorship and career development support to each FSRF as well as guidance on trajectories within and outside academia. The CCA's particular mission is to
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Lucey, and AIML Chief Scientist, Prof Anton van den Hengel, their research team, and CommBank representatives to publish high-impact research and develop innovative AI solutions for the financial sector