672 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Newcastle University" positions at Harvard University
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financial systems which involves identifying the systems, designing templates, reconciling access data against HR data, coordinating with Business Units to resolve exceptions, and removing access when
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. Additional Qualifications We seek candidates who have strong expertise in design in the context of a computational engineering or applied science field such as computer science, applied mathematics, data
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University codes,regulations, practices, trends, and/or guidelines as well as stay current with the latest information on electrical design and equipment. Engages and collaborates with E&U staff and partner
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language, and familiarity with economics, finance, AI, or other business topics Interest in technology and different learning modalities, such as video and multimedia platforms Additional Information
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. Certificates and Licenses: Must possess a current State HVAC license (or equivalent). Must possess a valid driver’s license. Additional Information Location: Harvard Lab Buildings; Cambridge, MA (USA) Standard
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possess a current State HVAC license (or equivalent). Must possess a valid driver’s license. Additional Information Location: Harvard John A Paulson School of Engineering & Applied Sciences (SEC); Allston
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salaried and benefits eligible. Information regarding postdoctoral fellow salary, which is determined by the number of years post PhD, and benefits can be found at https://postdoc.hms.harvard.edu/benefits
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and multimedia approaches. Build a connected communications ecosystem that links research, education, and engagement in mutually reinforcing ways. Leverage data, analytics, and audience insights
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Medical School seeks a highly motivated postdoctoral research fellow in health services research. The ideal candidate will have experience working with insurance claims data and a research interest or
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scientists—on projects that bridge methods, policy, and practice. Position Description: This role will involve intensive analysis of claims data and related large administrative datasets to support policy