281 computer-security "https:" "https:" "https:" "https:" "U.S" "U.S" uni jobs in Netherlands
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, religious or ethnic background, gender, sexual orientation, disability or age. We strive to create a safe and inclusive environment in which everyone can flourish and contribute. Knowledge security screening
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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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Location ESAC, Villanueva de la Cañada, Spain Description The European Space Agency maintains a world-leading Science Programme with missions in heliophysics, planetary science, astrophysics and
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Competitiveness and is organised into various divisions and services in support of ESA’s programme directorates. You will support the tender actions and resulting contracts/cooperative agreements assigned to you
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multidimensional geospatial datasets and related cloud-native technologies Competence with distributed computing frameworks (such as Apache Spark or Dask) Expertise with AI/ML models, related techniques and
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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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maintain relevant academic and societal networks to support research within this program and contribute to securing research funding. In addition to research responsibilities, the candidate will contribute
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to the implementation of the EO Quantum Sensing Strategy and roadmap within the FutureEO programme as well as preparing work/action plans for the development of the strategy; contributing to the development and
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organised into various divisions and services in support of ESA’s programme directorates. The selected Contract Officer may be appointed to those located at ESTEC, namely Earth Observation, Connectivity and
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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