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intelligence and machine learning techniques; Pointing engineering, including stabilisation techniques and control strategies; Failure Detection Isolation and Recovery (FDIR) for AOCS and GNC systems; State
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intelligence and machine learning techniques; Pointing engineering, including stabilisation techniques and control strategies; Failure Detection Isolation and Recovery (FDIR) for AOCS and GNC systems; State
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of this campaign is to acquire data over glaciers and sea ice in Iceland and Greenland to test the instrument. You will process the data with the Level-1 processor and analyse the data. The analysis will at least
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topics including: Artificial Intelligence (AI) and Machine Learning; knowledge of mixed reality development and programming (e.g. AR, VR, XR). Diversity, Equity and Inclusiveness ESA is an equal
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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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processing and databases, software applications including human computer interface, support for science operation centres and downstream applications; Supporting projects with the centre of competence in
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methodologies, such as additive manufacturing, for projects within the centre and for space exploration; Developing new ideas around medical technologies, for example, using machine learning techniques to support
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infrastructure, including facility blueprints and model factories. Proficiency in the integration of automation technologies, including robotics, real-time data analytics, artificial intelligence/machine learning
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such as data science, AI, computer science, machine learning, Earth system science, climate etc., with a thesis subject relevant to the description of the tasks outlined above. Additional requirements In
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for this position, the following is required: PhD in a relevant field such as data science, AI, computer science, machine learning, Earth system science, climate etc. with a thesis subject relevant to the description