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operational efficiency through streamlined interfaces while highlighting the uniqueness of each EO science mission thanks to ad-hoc developed elements (notably in the processing and in the data quality domain
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and computing, to apply. One position will focus on the scaling, calibration, operation, and tuning of spin qubit arrays using algorithmic techniques, as part of an international project, with
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on the resulting algorithms and pipelines. As an emerging paradigm, differentiable programming builds upon several areas of computer science and applied mathematics, including automatic differentiation, graphical
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of Earth observation, navigation, science, and connectivity and secure communications. The AOCS and Pointing Systems Section carries out technological research and development, harmonisation and
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for recognition of planetary materials from multispectral datasets. Interns are sought to contribute to the ongoing development of Machine Learning algorithms for recognition of planetary materials from
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Division, Systems Department, Directorate of Technology, Engineering and Quality. The Future Engineering Division, in support of the programme directorates, is responsible for developing and providing
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Your job As a Platform Engineer, you will be part of an ambitious and technically strong team that is responsible for developing and maintaining the existing Internal Cloud Services (on-premise IaaS
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learning with emerging technologies involving extended reality. We focus on how, when, why, and who benefits from using these technologies. The goal of our work is to develop evidence-based knowledge
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investigates learning with emerging technologies involving extended reality. We focus on how, when, why, and who benefits from using these technologies. The goal of our work is to develop evidence-based
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We focus on liver cancer and related disorders that predispose to liver cancer, with the overarching goal of understanding disease mechanisms and developing innovative therapeutic strategies. As