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revenue. Our ideal person is methodical, has excellent time management skills, and can use their communication skills to collaborate effectively with various teams. Core Duties Digital Solicitation Strategy
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computational efforts across multiple labs at Harvard’s Faculty of Arts and Sciences and Medical School. As part of this effort, the Rubin lab is implementing new methods of studying aging in vitro using brain
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genomic data from parasitic and medicinal plants. The Davis Lab of Plant Biodiversity explores questions in plant evolution and ecology using a variety of cutting-edge methods. Current and past research has
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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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Program at Harvard University’s Weatherhead Center for International Affairs invites applications for the William Lyon Mackenzie King Postdoctoral Fellowship. This is a two-year position. Two fellows will
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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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: Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area: Applied Math Position Description: The Computational Science and Engineering Laboratory at Harvard University invites
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organization skills Interest in learning and strengthening existing skillsets Strong technical and programming skills, familiarity with current deep learning techniques, with a focus on computer vision Special