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interested are encouraged to visit the ESA website: http://www.esa.int Field(s) of activity for the internship Topic of the internship: Analysis of CRISTALair Functional Flight Campaign Data Due to climate
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/scientific fields; Programming experience in languages such as Python or C++; Knowledge of Nvidia Omniverse; Familiarity with AI or machine learning techniques applied to simulation, control, or optimisation
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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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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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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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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
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for this position, the following is required: PhD in a relevant field such as computer science, quantum physics, electronic engineering, data science, AI, machine learning, Earth system science, climate etc. with a
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above. Education in related fields such as data science, AI, computer science, machine learning, space engineering, Earth system science, climate, etc. would be an asset. Additional requirements In