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duration of 4 years that depending on performance and organisational needs, may be extended up to a maximum total duration of 8 years. Description On-board Computers and Data Handling Engineer in the Data
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that will concisely and accurately inform international/national policies aimed at forest conservation. You will utilise ESA-supported cloud computing platforms for conducting your research. By the end
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-engineering activities, as well as the team’s other main research lines (for example AI for guidance, navigation and control, unconventional computing and mission analysis), via the ACT website (https
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competencies Education You should have completed within the past five years, or be close to completing, a PhD in aerospace engineering, mathematics, physics, computer science or a related field. A PhD in space
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and component reliability. You are encouraged to visit the ESA website: https://www.esa.int/ Field(s) of activity/research for the traineeship Growing mission complexity, the need for European
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scientific activities in support of ESA science-related activities. You are encouraged to visit the ESA website (http://science.esa.int ) for an overview of ESA’s Science Programme. Field(s) of activity
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flows, flow matching, neural ODEs as well as graph neural networks. Looking forward, the aim is to develop new mathematical and computational paradigms that can deepen our scientific understanding of deep
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, the Section is in charge of the improvement of processing algorithms during the exploitation phase of a mission. You are encouraged to visit the ESA website: https://www.esa.int/ Field(s) of activity/research
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by candidates within five years of receiving their PhD. In particular for this position, the following is required: PhD in data science, AI, computer science, machine learning, aerospace engineering
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planetary atmospheres. The Section also initiates and manages a wide range of related modelling, software and hardware R&D activities. You are encouraged to visit the ESA website: https://www.esa.int/ Field(s