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language processing, and more. We own and operate the entire technology stack for Machine Learning Operations. This ensures that the models we build translate into secure, reliable, and actionable outcomes across
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features of military and dual-use space systems Behavioural competencies Education A master’s degree in engineering or a scientific discipline is required for this post. Additional requirements You should
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models that provide evidence-based reasoning for mission-critical decisions. Explainable AI for mission-critical decision support: design interpretable machine learning architectures capable of offering
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and scientific activities to building (international) community efforts around data science and machine learning. As Science Operations System Engineer for Cloud Platform development, you will be tasked
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the application of the entire ECSS standards. Artificial Intelligence(AI) / Machine Learning(ML) will aid both the production and application of these standards to any space projects. Candidates interested
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competencies Education You should have completed within the past five years or be close to completing a PhD in a relevant field such as data science, AI, computer science, machine learning, Earth system science
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for applying to this role will be explored. Knowledge and background in one or more of the following domains is an asset: artificial intelligence and data science: understanding of machine learning and deep
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applications engineering; database engineering, data science; AI and machine learning; GIS. Natural curiosity, creativity, and a can-do attitude are very important. Moreover, although you will be part of a wider
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intelligence (AI) and machine learning(ML). Duties This position combines knowledge of the Earth observation (EO) domain (EO instruments, EO data, EO algorithms, modelling, etc.) and AI/ML, as well as data
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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