31 data "https:" "https:" "https:" "https:" "UNIV" positions at Erasmus University Rotterdam in Netherlands
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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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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 project
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relevant research grant processes, such as internal checks and project control. Organize funding information sessions, training sessions, and workshops on collaborative grants, where relevant in
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, the UK and North America constitute an important focus. Additional information For more information, please visit: RSM People and Organisations: People and Organisations Opens external RSM: Rotterdam
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publication or submitted paper that demonstrates your interest in the topics relevant to ECCO In addition, we request you to complete the survey you’ll find here: https://edu.nl/gm8b7 Opens external . Filling
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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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. Additional information For more information about this vacancy, please contact Ben Wubs via wubs@eshcc.eur.nl Applying Please submit your application, consisting of a motivation letter and cv, before
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: Business Development, Grant Support, Legal Counsels, Open Science, Research Data Management, Ethics Review and Research Intelligence. ERS is a relatively young service department within Erasmus University
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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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, 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