88 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "University of Waterloo" positions at European Space Agency
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the mission or expected to use its result. You are encouraged to visit the ESA website: http://www.esa.int Field(s) of activity/research for the traineeship In particular you will perform some of the following
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the roll-out of its services, building the Galileo 2nd Generation and defining the future of the European GNSS. You are encouraged to visit the ESA website: http://www.esa.int Field(s) of activity
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diplomatic network and managing the VIP participation to launch events with the support of the communication services. You are encouraged to visit the ESA website: http://www.esa.int Field(s) of activity
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conjunction with an enhanced visualization of their output and performance (e.g. through dedicated cockpits and Key Performance Indicators). You are encouraged to visit the ESA website: http://www.esa.int Field
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space ambitions, delivering tangible, measurable and long-term impact for future missions. You are encouraged to visit the ESA website: http://www.esa.int Field(s) of activity/research for the traineeship
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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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systems. Candidates interested are encouraged to visit the ESA website: http://www.esa.int and https://www.esa.int/Applications/Satellite_navigation Field(s) of activity for the internship Within
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collaborative research. The environment is ideal for students passionate about space, navigation, and innovation. Candidates interested are encouraged to visit the ESA website: http://www.esa.int Field(s) of
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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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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