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. Knowledge and background in mechanical engineering, materials, computer science, life science, VR/AR development, industrial design or other relevant backgrounds is welcome. Diversity, Equity and
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systems and cost engineering practices, methodologies and applications across the various disciplines, project phases and organisations. You are encouraged to visit the ESA website: http://www.esa.int and
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supervision, with excellent communication and presentation skills. Technical and computational knowledge, including in machine learning, applied to climate science would be an asset. You should be prepared
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the interview, your motivation for applying to this role will be explored. You should be pursuing a master’s degree in Data Science, Information Technology, Computer Science or a related discipline. Skills