249 computer-security "https:" "https:" "https:" "https:" "UCL" uni jobs in Netherlands
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ESTEC, Noordwijk, Netherlands Description IPMA Senior Manager in the Independent Programme Management Authority, Inspector General’s Office, Director General’s Services. The Independent Programme
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Location ESTEC, Noordwijk, Netherlands or EAC, Porz-Wahn, Germany Description The Directorate of Human and Robotic Exploration (D/HRE) is a programme directorate within the ESA matrix structure
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construction and refurbishment projects for REFM and, as mandated, programme-dedicated infrastructure. You will also be responsible for identifying, assessing, managing and reporting the health and safety risks
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Economics Section of the Utrecht University School of Economics. We offer courses within the broad Bachelor’s programme Economics & Business Economics, a double Bachelor’s programme in Economics and
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high-trust transfer trajectories (including rocket ascent and descent trajectories), computation of atmospheric entry trajectories, launch window and target definition, fuel budget analysis, prediction
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(applications, capacity development and policy) and development cooperation principles In-depth understanding of the Copernicus Space Segment and programme Behavioural competencies Education A master’s degree in
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the Reproductive Genetics team. Your job Your main tasks will consist of supporting a vibrant clinical programme in all activities related to in vitro production and preservation of horse embryos (oocyte recovery
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research activities in the product assurance and safety disciplines. As Head of the Quality Department, you will also act as ESA’s principal representative for quality matters vis-à-vis external stakeholders
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) and development cooperation principles Detailed understanding of the Copernicus Space Segment and programme Knowledge of the environmental, institutional and socioeconomic conditions in the South Asia
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are encouraged to visit the ESA website: http://www.esa.int Field(s) of activity for the internship You can choose between the following topics: 1) Topic 1: Machine Learning for recognition of planetary materials