543 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" uni jobs at Harvard University
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here: https://itacademy.harvard.edu/ . Job Description This position will be responsible for supporting a broad range of systems and applications providing support both on-campus and remotely with a
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programs in biostatistics, computational biology and data science; currently, more than 180 students are enrolled in these programs. Our team invites applications for a Programmer position in the National
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! Harvard FCU: https://harvardfcu.org/ Job Description Responsible for a comprehensive array of Member Services Representative (MSR) duties: Processes; transactions: deposits, withdrawals, loan payments, etc
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with team members to analyze and resolve data and pay discrepancies. Proactively monitors and resolves issues with employee pay errors including Time & Labor and Absence Management as well as data
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Information Standard Hours/Schedule: 35 hours per week Visa Sponsorship Information: Harvard University is unable to provide visa sponsorship for this position Pre-Employment Screening: Identity, Criminal
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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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, for our excellent leadership, and we are a strong community that values diversity. For more information about HGSE, its programs, research, and faculty, please visit: www.gse.harvard.edu . Job Description
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science would be particularly welcome. Contact Information: Hiring Manager cbar.recruiting@sdac.harvard.edu Contact Email: cbar.recruiting@sdac.harvard.edu Equal Opportunity Employer: We are an equal
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trial and observational study review, design and review of data collection forms and stratification/randomization of studies; statistical programming; data analysis and monitoring; and report writing
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for Salesforce and Learning Communities Troubleshoot and resolve issues related to user access, roles, permissions, participant, faculty, guest, and staff records, data discrepancies, configuration