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to develop and manage a large portfolio of prospects (approximately 120+). Working within a region-based plans cultivate and solicit alumni and current parents in targeted areas nationally. Engage faculty
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Advancement and the multidisciplinary mission of the University at large. The Associate Director of Major Gifts will work with faculty and Advancement colleagues across the university to discover, identify, and
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, and scholarly activities. In partnership with Northeastern University, Alnylam Pharmaceuticals is offering a two-year Global Medical Information fellowship, based in Cambridge, MA. About Alnylam Alnylam
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communication skills with an ability to present and speak for small and large groups Proficiency in Microsoft Word and Excel required, Knowledge of Banner, DARS, EAB Navigate preferred Academic background in Athletic
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, or health psychology or closely related field is preferred. As appropriate, psychology licensure required. Successful applicants will have work experience and college teaching experience in a large, diverse
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leadership and expertise in managing mid- to large-scale projects across diverse university functions, including administration, academics, and research. This role requires close collaboration with
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systems and object stores, infrastructure-as-a-service platforms, open-source cloud platforms, key big data platforms, and topics in data center scale systems. Combines lessons, practical work on AWS and
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professional contracting experience, including any relevant exposure to the higher education and/or healthcare industries. Prior experience with supply-side contracting at a large-scale, global institution
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vaccines help protect millions of people. We find solutions to big, complex, challenging problems, and we see the results in the world around us. Then we do it all over again the following year. CSL Seqirus
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of Neurobiology. In particular, the Research Assistant will perform experiments in behavioral neurobiology using established procedures and further developing existing protocols; collect and analyze large data sets