265 parallel-and-distributed-computing-"Meta"-"Meta"-"Meta" positions at Harvard University
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, Employee Assistance Program, and wellness programs related to stress management, nutrition, meditation, and more. Retirement: University-funded retirement plan with contributions from 5% to 15% of eligible
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members of the IOP team to look for opportunities to leverage existing programming and opportunities for synergy. Program Development and Management: Develop plans for and execute programming that reflect
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with discretion. They should possess strong computer skills in a PC environment with the capability to master new software applications and technologies, including database management. Familiarity with
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program to IND submission, we are seeking a proactive and scientifically minded Senior Project Manager to orchestrate our efforts between our internal team, partner biotech companies, CROs, and regulatory
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resources including on campus childcare centers, Employee Assistance Program, and wellness programs related to stress management, nutrition, meditation, and more. Retirement: University-funded retirement plan
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voluntary benefits. Most coverage begins as of your start date. Work/Life and Wellness: Child and elder/adult care resources including on campus childcare centers, Employee Assistance Program, and wellness
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Microsoft Excel to provide Asset, PM Program, and related Work Order information to FMO Customers, as well as FMO Building Maintenance Services supervisors and managers. Works with the Associate Director and
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@seas.harvard.edu . Applications will be reviewed on a rolling basis. Basic Qualifications A Ph.D. in Mathematics, Computer Science, or a related field, by the start of the appointment. Additional Qualifications
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experimentalists in all fields of science and engineering. The Rowland Fellowship provides an opportunity to establish an independent program in the rich intellectual environment of Cambridge, Massachusetts
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and Regenerative Biology has an exciting and broad multiomics program focused on brain aging. Approaches will include experimental and computational efforts across multiple labs at Harvard's Faculty