128 parallel-computing-numerical-methods uni jobs at European Space Agency in Netherlands
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Exploration Envelope Programme (E3P) is integrating the ESA activities in this field to ensure a single exploration process. The strategy includes three destinations where humans will work with robots to gather
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, when assigned for support; building a trust-based relationship with added value with the project and programme managers, technical officers and relevant teams, advising them on all procurement-related
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Communications (D/CSC). The Secure Connectivity programme has been established by EU and ESA, with the objective to deploy an EU owned satellite constellation for secure communications, called IRIS
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support to the implementation of ESA’s missions and programmes jointly carried out with international partners, in coordination with relevant programme directorates; support to the handling of high-level
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master's degree in a relevant engineering domain is required for this post. Additional requirements You should have the ability to adapt to new working methods and environments. You must be able to build
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of improving overall business performance in alignment with Agency and Directorate goals, including digitalisation, procedures, methods and IT requirements; leading, managing and ensuring the well-being
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Location ESTEC, Noordwijk, Netherlands Description Mission Infrastructure Implementation Manager in the Secure Connectivity programme within the Directorate of Connectivity and Secure Communications
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Location ESTEC, Noordwijk, Netherlands with a resident assignment to Toulouse, France Description Project Controller in the Galileo and EGNOS Programme Management Support Office, Navigation
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-1NG is the successor of the Earth Observation Copernicus Sentinel-1 SAR mission. Copernicus is the most ambitious Earth observation program to date. It is a cornerstone of Europe’s efforts to monitor
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modelling, including Star tracker Field Of View error with non-inertial pointing, dynamic stellar estimator, and tachometer stellar estimator); to model uncertainties and apply robust control for optimised