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of teams and programmes of significant size in terms of budget and human resources preferably in an international context A well-established network and a deep understanding of challenges and opportunities
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languages, for example Python, and general purpose deep learning frameworks, such as Tensorflow or PyTorch; The interest and ability to share knowledge with other ESA organisational units. You should also
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infrastructures, rapid innovation cycles, and even autonomous deep space exploration. As Head of the In-Orbit Technology Demonstration Division, you will be at the heart of this transformation. You will lead ESA’s
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: Roadmapping optical technology developments and the introduction of new capabilities for space missions, from low to high technology readiness levels; Introducing deep-space optical communication into space
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, hardening guidelines and security best practices Deep knowledge of security engineering for communications systems based on RF and quantum key distribution Good knowledge of space system engineering
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-purpose deep learning frameworks, such as PyTorch; An interest in and ability to share knowledge with other ESA organisational units. You should also have good interpersonal and communication skills and
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from multispectral datasets You will contribute to the ongoing development of Machine Learning algorithms for recognition of planetary materials from multispectral datasets. This project combines deep