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Field
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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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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
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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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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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, Industrial Engineering, Computer Science, or Machine Learning. Solid experience with quantitative optimization methods, including (but not limited to) mathematical programming and stochastic dynamic
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will design, implement, and evaluate, within the framework of Design-Based Research, a professional development programme that supports STEM instructors in using AI effectively and critically in
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package within the core research program of CropXR. Our goal is to develop computational methods to translate integrated simulation models of plant responses to stress (drought, heat) from a model plant
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a master’s degree in biomedical engineering, computer science or related disciplines, with experience in programming and machine learning. Additionally, strong analytical and problem-solving skills