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Observation Programmes and in particular with the Copernicus Hyperspectral Imaging Mission for the Environment (CHIME) project and Mission Science team. You will be part of the ESA Φ-lab. Our mission is to
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detection and management, such as code exposure, coverage, and secure patching/update architectures as part of DevSecOps processes; Validating mission data system software interfaces and service-specific
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particular emphasis on imaging focal plane technologies and instrument electronics, in support of the development of the instrumentation for future ESA space science missions. The majority of these activities
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advanced design for manufacturing capabilities. These elements are no longer optional – they are the cornerstones of our future success. ESA is evolving from a traditional prototype-driven mindset to one
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particular: propose and conduct comparative benchmarking of neuromorphic hardware using both event-based sensor data and conventional sensor data (such as optical or hyperspectral imagers typical of space
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; Experience with general purpose deep learning frameworks, such as Tensorflow or PyTorch; Record of relevant coding experiences relevant to the job description; Experience with HPC tools (e.g., MPI, SLURM, etc
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expert network. You will be able to interface with experts from other engineering disciplines for applications and potential demonstrations. You will be responsible for: prototype applications, proofs
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) and Sentinel-3 (medium-resolution visible and infrared imaging) missions. The assignment covers the activities relating to phases D/E1 for both Sentinel-2 and Sentinel-3 first generation satellites, and
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Instruments Section and be involved in the development of innovative Earth observation (EO) optical instruments. The types of payload involved will include EO multispectral imagers, imaging spectrometers and
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such as low-code/no-code tools (e.g. Power Apps, SAP BTP and SharePoint). Manage all aspects of procurement projects, including timelines, budgets, resources, and stakeholder coordination, ensuring timely