611 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "Yale University" positions in Netherlands
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February 2026 Apply now We are looking for an ambitious researcher who fills a two-years postdoc position. You will have 20% teaching time. You will contribute to the teaching programme of interdisciplinary
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EGNOS Programme Department, Directorate of Navigation. The Galileo and EGNOS Evolution Division is responsible for defining, consolidating and implementing innovative technology and supporting research
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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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contribute to the teaching programme of interdisciplinary social science. Your job The programme ‘Youth in Changing Cultural Contexts’ aims to identify opportunities for young people to thrive and grow within
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attention to the city of Rotterdam. The teaching responsibilities include joining the collaborative team of the English-taught, international master programme Social Inequalities and Change, one
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attention to the city of Rotterdam. The teaching responsibilities include joining the collaborative team of the English-taught, international master programme Social Inequalities and Change, one
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the Department of Sociology, the interdisciplinary programme SOCION and the interuniversity research school ICS. This PhD project is part of the SOCION consortium. SOCION addresses a pressing challenge of our
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Projects Department: Sterna project: Sterna is the operational follow-on to the Arctic Weather Satellite (AWS) and forms part of the EPS-Sterna programme implemented in cooperation with EUMETSAT
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(RE:HOME)’. This project, involving partners from France, Belgium, Germany and the Netherlands, is funded by Interreg North-West Europe (NWE), a European Territorial Cooperation programme contributing to a
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this sound like you? You have a Bachelor’s or Master’s degree in AI, robotics, computer science, electrical engineering or comparable. You have strong machine learning and programming skills with a background