632 electrical-and-computer-engineering-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions in Netherlands
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solutions that help move the world forward. Faculty of Electrical Engineering, Mathematics and Computer Science The Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) brings together
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Location ESTEC, Noordwijk, Netherlands Description Secure Connectivity Ground Segment Service Engineer in the Secure Connectivity Ground Segment & Operations Office (CSC-IG), within the Secure
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their wild relatives over thousands of years. In this project, you will develop and apply computational omics approaches to uncover the molecular mechanisms underlying ancient plant–microbiome
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Location ESRIN, Frascati, Italy Description Vega-C Launch System and Operations Engineer in the Vega and Space Rider Launch System and Engineering Division, Flight Programmes Department, Directorate
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pollution towards the ocean. Moreover, large amounts of plastic are retained in and around rivers. Accurate assessments of the current and future state of plastic pollution in rivers are crucial in finding
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the section Intelligent Electrical Power Grids that makes part of the Electrical Sustainable Department (ESE) within the Faculty of Electrical Engineering, Mathematics, and Computer
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years. Location ESTEC, Noordwijk, Netherlands Description D2D 5G/6G Network Lead Mission Engineer in the D2D Project within the Communication Constellations and NG 5G6G NTN Partnerships Division in
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mentoring, opportunities to co-supervise students, and access to TU Delft’s training programme. This vacancy is positioned within the globally recognized Department of Hydraulic Engineering (HE), known
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years. Location ESTEC, Noordwijk, Netherlands Description Lead System Engineer for the Copernicus CRISTAL and Sentinel-3 Next Generation Topography (S3 NGT) altimetry missions in the Copernicus Space
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Are you interested in advanced computational modelling and state-of-the-art scientific software? Join us in creating the Bayesian multiverse: a computational framework for robust statistical analyses