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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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well as discounts on software and other IT products. We also offer access to additional employee benefits through our Terms of Employment Options Model. In this way, we encourage our employees to continue to invest
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or operational questions Creating Power BI reports and dashboards Using DAX in Power BI for calculations and insights Working with existing data models and learning to improve them Being actively involved in
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Connectivity Department in the Directorate of Connectivity and Secure Communications. The ESA Programme Related to EU Secure Connectivity, hereinafter referred to as “Secure Connectivity”, is intended to support
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learning with a background in robust and embedded control, aerospace systems and physical modelling, as well as in artificial intelligence-related concepts, computer vision and numerical optimisation
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environmental and climate impact. Together with Dutch farmers, ReGeNL is a transdisciplinary program developing a future-proof agricultural sector in which agriculture goes hand in hand with soil health and
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candidate would become an ARIA R&D creator. Responsibilities: Conduct foundational research on aggregation mechanisms, including: for-mal modeling and axiomatic analysis, computational complexity and algo
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dissecting RNA structure ensembles in living cells. Particularly, you will: Develop novel methods (both wet and computational) for the accurate interrogation of RNA 2D and 3D structures in living cells. Apply
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), we aim to close this gap, by developing AI models and tools for tabular data, to help organizations, of any size, domain, and level of data literacy, get insights from structured data, efficiently
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candidate would become an ARIA R&D creator. Responsibilities: Conduct foundational research on aggregation mechanisms, including: for-mal modeling and axiomatic analysis, computational complexity and algo