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especially encourage candidates with proven experience in applying computational and experimental methods to social scientific questions – including aptitude in working with large-scale datasets and text
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://hr.harvard.edu/totalrewards ) to learn more about our outstanding benefits package, which may include: Paid Time Off Health and Welfare Work/Life and Wellness Retirement Tuition Assistance Program Tuition
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for the analysis of problems in these fields, including data analysis, geometric signal processing and computational science, along with a deep commitment to working with, and alongside, experimentalists is a must
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discontinued as of the date of such additional citizenship); are preparing for a PhD degree or post-doctoral research in a STEM discipline. The Faculty for the Future program does not fund Master level studies
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program calendar in communication with the Manager of Academic Programs. Support events (most of which are in the evening and on weekends) including oversight of maintenance of equipment, service of food
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package, which may include: Paid Time Off Health and Welfare Work/Life and Wellness Retirement Tuition Assistance Program Tuition Reimbursement Professional Development Commuting and Transportation Harvard
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) to learn more about our outstanding benefits package, which may include: Paid Time Off Health and Welfare Work/Life and Wellness Retirement Tuition Assistance Program Tuition Reimbursement Professional
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more about our outstanding benefits package, which may include: Paid Time Off Health and Welfare Work/Life and Wellness Retirement: Tuition Assistance Program Tuition Reimbursement Professional
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analysis, organizational skills, and strong interpersonal and communication skills. While not a must, a strong background in computational methods and/or statistical methods is a plus. Special Instructions
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. Applicants are required to submit: • CV • Cover letter (1-2 pages) that briefly states your interest in the program, your academic background, and a summary of your proposed research project • Research