314 cloud-computing-"https:"-"https:"-"https:"-"BioData"-"BioData" positions at Harvard University
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: Computational methods development and consortium data management for the Human Virome Program, with the mandate to characterize viral (phage and eukaryotic) communities across the human body in health and disease
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(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 (the Harvard Kenneth C
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for developing and leading analytical and modelling components of internationally collaborative projects funded by the Gates Foundation, and in partnership with ministries of health, academic partners, programme
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Weatherhead Center for International Affairs at Harvard University Deadline Month: Varies by program Description: The Center welcomes applications from graduate students and postdoctoral scholars
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(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 (the Harvard Kenneth C
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will contribute to technical deliverables and help to plan for technology translation. Basic Qualifications PhD in engineering, computer science, biomechanics, or a related field. Additional
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program portfolio management; guest services; marketing; corporate sales; program operations; technology services; human resources; enrollment and admissions; and finance. Job Description Job Summary As a
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practitioners to pursue curiosity-driven research, expand human understanding, and grapple with questions that demand insight from across disciplines. The Fellowship Program annually supports the work of 50
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travel to New York to support Shop Builds and/or other show-related preparations for up to 2 weeks at a time. Physical Requirements: Ability to sit, type, and work at a computer for extended periods
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machine learning methods for computational materials physics and chemistry. Projects include: The aim is to develop generalized equivariant neural network models NequIP and Allegro for machine learned