514 data-"https:"-"https:"-"https:"-"https:"-"Dr"-"L2CM" positions at Harvard University
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. Additional Qualifications Special Instructions Please email Kara your CV, a short description of your research interests, and contact information for 3 references at kara_mckinley@harvard.edu . Selected
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in a fast-paced diverse environment. Customer service oriented. Certificates and Licenses: ServSafe certification within first year of employment. Additional Information Appointment End Date: This is a
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contact information for up to three references. Contact Information Mark Peterson Contact Email mpeterson@seas.harvard.edu Salary Range $67,600 – $91,826 Pay offered to the selected candidate is dependent
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that involves sensitive information and requires a high degree of discretion and confidentiality. Working Conditions: Work is performed in an office setting. This position requires 5 days, in office, on campus
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to detail when reviewing bids and invoices and actively monitor trend data and contractor performance indicators while proactively overseeing all building infrastructure services in accordance with HMS
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Instructions Interested candidates should submit a cover letter, CV, a brief research proposal, and two to three references’ names and contact information. Applications will be reviewed on a rolling basis until
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collaborative research on the impact of digital technologies (e.g., AI, data visualization, immersive media, biofeedback systems) on art education, museum practice, and cultural storytelling. Contribute
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annual planning cycles, continuity planning, and operational implementation for new policies and procedures. Provide data-informed insights and reports to the HILR Director/Assistant Dean related
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conduct annual utilization reviews and present data-informed recommendations. Cross-CADM Initiatives (“One CADM”): Serve as operational lead for select cross-functional initiatives. Translate strategic
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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