31 data-"https:"-"https:"-"https:"-"https:"-"Nantes-Université" positions at Erasmus University Rotterdam in Netherlands
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- € 5.538 Employment 0.8 fte - 1 fte Introduction ODISSEI is the Dutch national data infrastructure for the social sciences. It is a consortium of 45 participating organizations working together to improve
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of post-experience education such as the executive MBA programmes. For more information about the group: https://www.rsm.nl/research/departments/technology-and-operations-management/business-information
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fte - 1 fte Introduction ODISSEI develops the Dutch national data infrastructure for the social sciences. It is a rapidly growing consortium of 45 participating organisations working together to improve
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the control measures for externally funded research projects Line manage the business and project control unit Contribute to the improvement of management information for planning and strategy formulation
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, startup acquisition, and startup wage setting. The PhD project will be primarily empirical, with a focus on applying modern micro-econometric methods to large scale datasets such as administrative data
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and pro-social tendencies, building on existing validated scales. This “Civic Engagement tool” will have the form of a serious game, whereby data collection is embedded within the gameplay itself. Your
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of the ERIM Business Processes, Logistics, and Information Systems (LIS), Supply Chain Management (SCM) section doctoral program is to be at the forefront of developments in its domain. We are committed
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optimisation opportunities. • Align campaigns with Sales teams to support lead conversion. • Coordinate webinars and virtual information sessions. Collaboration: • Collaborate with our marketing agency
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FTE (4-5 days per week) and we require that you work on campus at least 2 days per week. On the other days, it is possible to work from home. We ensure you are provided with a notebook computer and
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require strong analytical and methodological skills. Candidates will handle data preprocessing and analysis, ideally with proficiency in Python, R, or MATLAB. Collaboration within a multidisciplinary team