113 machine-learning "https:" "https:" "UCL" "UCL" 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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for this position, the following is required: PhD in data or computer science, machine learning, AI, statistics, mathematics, biophysics, bioinformatics. Additional requirements In addition to your CV and your
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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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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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the Directorate and ESA, seeking shared and optimised technology roadmaps for Europe. You are encouraged to visit the ESA website: http://www.esa.int Field(s) of activity/research for the traineeship As an ESA
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, PlasmaObs, LCRS, Moonlight and Henon. You are encouraged to visit the ESA website: https://www.esa.int/ Field(s) of activity/research for the traineeship Many challenges and trends will affect the operations
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: https://eo4society.esa.int/communities/scientists/ More specifically, the Trainee will be part of the Earth System Science Hub, a new science laboratory in ESA working as center for networking and
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intelligence Motion and actuation Robot-user interfacing Robot ground testing You are encouraged to visit the ESA website: http://www.esa.int Field(s) of activity/research for the traineeship The Trainee will be
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required. You are encouraged to visit the ESA website: http://www.esa.int Field(s) of activity/research for the traineeship Within the Strategic Initiatives Team, you will contribute to: Conducting strategy
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website: http://www.esa.int Field(s) of activity/research for the traineeship Under the coordination of the Vega-E Liquid Propulsion Module Product Manager, in support of current developments of the Vega-E