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Field
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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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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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environmental and climate impact. Together with Dutch farmers, ReGeNL is a transdisciplinary program developing a future-proof agricultural sector in which agriculture goes hand in hand with soil health and
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for this position, the following is required: PhD in systems engineering, computer science or informatics, and the subject of the thesis should be relevant to the task description provided above (e.g. digital twin
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); units such as onboard computers, mass memories, remote terminals and instrument control units*; digital and analogue signal processing electronics for payload/platform functions; front-end acquisition and
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learning with a background in robust and embedded control, aerospace systems and physical modelling, as well as in artificial intelligence-related concepts, computer vision and numerical optimisation
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negotiation skills Behavioural competencies Education A master’s degree in computer engineering, space system engineering, physics or another relevant subject is required for this post. Additional requirements
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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 project will be carried out in collaboration with an industrial partner under the umbrella of the Industrial Focus Group XUV Optics where a multidisciplinary research program on growth, characterization