232 computer-programmer-"IMPRS-ML"-"IMPRS-ML"-"IMPRS-ML" positions at Harvard University
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) Division of Program Coordination, Planning and Strategic Initiatives, Office of Research Infrastructure Programs (ORIP ) Special Note: Not all NIH Institutes and Centers participate in Parent Announcements
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Oral and Maxillofacial Surgery is a vibrant program, recognized nationally and internationally for educating leaders in research, patient care and service. The Harvard School of Dental Medicine (HSDM) is
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Qualifications: Five (5) years? experience in the trade as a journeyman, current Pipefitter?s license and EPA CFC Technician certification required. Completion of a trade or vocational school program is required
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secondary affiliation with the Harvard Medical School Department of Microbiology and are part of the Harvard Program in Virology. · Ideal applicants will be expected to develop a research program that is
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accountable for the regulatory compliance of the electric distribution system and the Spill Prevention Control and Countermeasure program regarding liquid transformers as well as compliance with any internal
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and Sciences (FAS) is the historic heart of Harvard University. It is the home of Harvard’s undergraduate program (Harvard College, founded in 1636) as well as all of Harvard’s Ph.D. programs
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developmental, stem cell, neuro, computational biology, genetics or genomics. Basic Qualifications: The candidate should have a PhD or plan to defend their PhD in the coming year. Contact Information: Professor
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technology, networking, phones and voice mail, IT security, computer asset lifecycle, device lending, shared device and printer support, and classroom and audiovisual emergency response. The role blends remote
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and Sciences (FAS) is the historic heart of Harvard University. It is the home of Harvard’s undergraduate program (Harvard College, founded in 1636) as well as all of Harvard’s Ph.D. programs
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single synthetic program of computational geometry. Specific interests include morphology, design topology, discrete differential geometry, packings, and machine learning methods for unstructured geometric