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possess sufficient specialist knowledge in the discipline to develop research programmes and methodologies. The successful applicant will also be able to work collaboratively, supervise the work of others
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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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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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developing deep learning approaches for genome interpretation; development of methods for multi-omic and spatial data analysis and integration with phenotypic and clinical data; and machine learning and AI
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that includes a bibliography (Required) Research statement of no more than three pages (including figures) describing the applicant's past work, proposed research program, and potential synergies with activities