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of the Belastingdienst (Dutch tax agency), and with our Dual Career Programme we will also help your partner find the right job for them. Employer Erasmus University Rotterdam (EUR) is an internationally oriented
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of utilities and common physical infrastructure and, as mandated, programme-dedicated infrastructure, as well as FM services, in accordance with specifically agreed customer requirements, and associated
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-class expertise from eight Dutch Universities, five Research Institutes and relevant societal stakeholders that play a major role in research and management of the North Sea. The six-year program (2025
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the requirements of the Belastingdienst (Dutch tax agency), and with our Dual Career Programme we will also help your partner find the right job for them. Employer Erasmus University Rotterdam (EUR) is
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-for-Good, the municipality of Emmen, NOM, InvestNL, and other academic and regional stakeholders. The PhD position will be embedded within the research programme Global Economics & Management at the Faculty
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will be embedded within the research programme Marketing at the Faculty of Economics and Business (FEB). The project will be supervised by Marijke Leliveld and Kim Poldner. The ideal candidate is highly
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the Secure Connectivity Department in the Directorate of Connectivity and Secure Communications. The ESA Programme Related to EU Secure Connectivity, hereinafter referred to as “Secure Connectivity”, is
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the Directorate of Connectivity and Secure Communications. The ESA Programme Related to EU Secure Connectivity, hereinafter referred to as “Secure Connectivity”, is intended to support the effective development and
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futures. It provides the Director General, the programme directorates and the broader Agency with insights and tools to set strategic goals, strengthen resilience and enable meaningful transformation. Using
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degree in data science, computer science, business analytics or a similar field; Four to seven years of relevant experience in BI roles; Strong command of Power BI (including advanced DAX and data