60 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"The-University-of-Edinburgh" positions at European Space Agency
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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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to offer a coherent, system-level perspective to guide its strategic evolution notably in the context of machine learning/artificial intelligence numerical, weather, ocean and climate prediction systems. By
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advanced techniques (such as digital beamforming or machine learning/Al techniques) supporting instrument operation and operative modes; onboard data compression; onboard data encryption; ASICs and devices
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on the optimisation of the data architecture to enable the efficient use of artificial intelligence and machine learning. Duties These positions combine EO domain knowledge (EO instruments, EO data, EO algorithms
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Knowledge of EO space mission operations and operations planning Knowledge of specific characteristics of military and dual use space systems Behavioural competencies Education A master's degree in
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characteristics 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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or hands-on hardware (including integration) experience Artificial Intelligence and Machine learning techniques for AOCS applications and engineering The motivation for supporting engineering laboratory
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for the following: Standard metrology tools, e.g. laser trackers, theodolites and CMM machines Laser radar Photogrammetry Thermography Alignment methods (contact and contactless) Calibration of light sources for sun
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management (Ability to capture, organise, and share knowledge, including lessons learned and best practices, to enable learning, ensure consistency, and improve quality across teams and projects) Behavioural
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communication skills; the ability to drive your team’s performance, developing your people by encouraging learning, delegating responsibility and giving regular and constructive feedback; strong problem-solving