110 machine-learning "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" uni jobs at European Space Agency in Netherlands
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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
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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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; interfacing with the scientific community for mission exploitation; collection and management of the operational and exploitation data; assessment of the mission objectives, lessons learned and recommendations
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, recommendations and lessons learned for future phases of Celeste and LEO-PNT in general. You will also be responsible for identifying, assessing, managing and reporting the health and safety risks in your area of
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performance, developing your people by encouraging learning, delegating responsibility and giving regular and constructive feedback; Strong problem-solving skills to deal with day-to-day operational challenges
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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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regulations & eligible to acquire the security clearance by their national security administrations. During the recruitment process, the Agency may request applicants to undergo selection tests. Additionally
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. Applicants must be eligible to access information, technology, and hardware which is subject to European or US export control and sanctions regulations & eligible to acquire the security clearance by
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to acquire the security clearance by their national security administrations. During the recruitment process, the Agency may request applicants to undergo selection tests. Additionally, successful candidates
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manner; capturing and sharing the lessons-learned with other project managers within the Division, and with other teams in the Department. Technical competencies More than 10 years of hands-on experience