2,693 data-"https:" "https:" "https:" "https:" "The University of Tokyo" positions at Duke University
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by gathering information on grievances, investigations, collective bargaining, and policy research. Draft and prepare reports, proposals, memos, and email communications. Take and transcribe dictation
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diversity scholars. This is a full-time, exempt (monthly/salaried) position, eligible for all Duke benefits (https://hr.duke.edu/benefits ) with an initial appointment of one year with the possibility
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Culture Lab and Dr. Salvador here: https://sites.duke.edu/culturelab/ . The Associate in Research would work primarily on projects examining cultural psychological processes in Latin American groups
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of relevant education and experience. Applicants should submit their materials electronically at https://academicjobsonline.org/ajo/jobs/31754 The deadline for applications is March 11, 2026. Duke is an Equal
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family-friendly and cultural programs to eligible team members. Learn more at: https://hr.duke.edu/benefits/ Equal Opportunity Employer: Duke is an Equal Opportunity Employer committed to providing
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family-friendly and cultural programs to eligible team members. Learn more at: https://hr.duke.edu/benefits/ Equal Opportunity Employer: Duke is an Equal Opportunity Employer committed to providing
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Director, Community Engagement, Constituent Engagement, Duke Alumni Engagement and Development (AED)
and advance in their professional lives. Assist with updating websites, databases, newsletters, and other communications pieces to include information about volunteers and activities. Financial and data
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supporting innovative research programs across the university. Be Bold. The Research Program Leader oversees complex research operations, providing leadership in strategy, compliance, data quality, and
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to an individual's age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, (including pregnancy and pregnancy related conditions), sexual orientation
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emphasis on active learning approaches to guide experimental design cycles. In addition, we are developing deep learning models that map genetic information of microbial species to their functional