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Genomics at Harvard Medical School Several positions are available in the Park Lab (https://compbio.hms.harvard.edu/ ). The aim of the laboratory is to develop and apply innovative computational methods
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, epigenomics, transcriptomics, and proteomics) information. The postdoctoral fellow will develop and refine machine learning methods for analyzing histopathology, clinical, and multi-omics data, collaborate with
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. Research areas include Representation Learning, Machine learning and Optimization on graphs and manifolds, as well as applications of geometric methods in the Sciences. This is a one-year position with
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the power to change the world. The program is the U.S. component of the L'Oréal-UNESCO For Women in Science International Fellowships program . Celebrating its twenty first year in the U.S
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important for the role. Experience with participant recruitment and retention methods. CITI certified and trained in Good Clinical Practice. REDCap, data collection and data entry experience also preferred
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with participant recruitment and retention methods. CITI certified and trained in Good Clinical Practice. REDCap, data collection and data entry experience also preferred. Contact Information: Mark
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developed and completed in collaboration with CBA. Primary methods would include analysis of large-sample behavioral data, surveys, and lab and field experiments. The projects will focus on products
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. Additional Qualifications Attention to detail and professionalism are highly important for the role. Experience with participant recruitment and retention methods. CITI certified and trained in Good Clinical
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of Massachusetts would be a plus but not required. Attention to detail and professionalism are highly important for the role. Experience with participant recruitment and retention methods. CITI certified and trained
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improve their financial outcomes. The projects would be developed and completed in collaboration with CBA. Primary methods would include analysis of large-sample behavioral data, surveys, and lab and field