35 linked-data-"https:"-"https:"-"https:"-"UCL" positions at Erasmus University Rotterdam in Netherlands
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. Developing and implementing initiatives to increase enrolment and grow the executive programmes portfolio. Ensuring effective use of CRM data to optimise outreach and sales performance. Collaborating with
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interested in doing causal inference in policy-relevant research, and working with large administrative data. Job requirements We welcome PhD candidates who aspire a career in research. To become one of our
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this position, please upload the following: A cover letter outlining your motivation and relevant experience Your CV Two or three examples of your published work For more information about the role, please get in
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for Education (NKO; former Nationaal Regieorgan Onderwijs, NRO) for the project “AI-Regulate: Using GenAI-based Feedback to Support Reading Comprehension During Self-regulated Learning”. More detailed information
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fieldwork and interviews with museum professionals, policymakers, and community stakeholders Collect and analyze archival, policy, and institutional data Contribute to the development of original research
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Introduction You’ll be a member of the RSM Digitalisation & Information Services (RDIS) department, which is the primary IT and innovation function at Rotterdam School of Management, Erasmus University (RSM
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focus on people and society. Visit our website for more information about the faculty, and click here for more information about our academic teams. Group Department of Public Administration and
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focus on people and society. Visit our website for more information about the faculty, and click here for more information about our academic teams. Group Department of Public Administration and
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the six universities. For more information, check the individual vacancy pages of the universities, or check the project website www.heritour.eu Opens external About the research project This PhD project
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, you bring: A completed academic degree with demonstrable knowledge of the research and publication process Experience in an academic or research environment Strong data analysis skills Knowledge