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in data-driven research, data science and artificial intelligence (AI). Seven PhD tracks form the core of the programme and will be carried out jointly by Wageningen BioVeterinary Research (WBVR
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, ground segment, launch system and landing site, ensuring overall system coherence; supporting the definition, development and qualification activities of the multi-purpose cargo bay, including
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on early detection of deviations from baselines, so that corrective actions can be taken before issues escalate. Digital transformation is at the heart of what we do. We lead the implementation
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with supporting the extension of the existing ESA Datalabs platform into a hybrid multi-cloud setup providing access to petabytes of data to scientists worldwide, leveraging the capabilities of both
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within research infrastructures, data-intensive organisations, HPC environments or large-scale digital platforms. This includes demonstrated experience managing complex, multi-institutional technical
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trends and the industrial landscape Multi-year experience with laboratory/field testing of robotic planetary/orbital systems and their ground truthing Experience in general design, verification and
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throughout their whole lifecycle, including procurement Good understanding of AI and ML methods applied to large EO or multi-source datasets Knowledge of ICT architectures and solutions, including performance
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interplanetary mission, and orbit experiments. Duties Within the technical scope described above, your tasks and responsibilities will include: workload assessment and assignment: Establishing the (multi-year
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in equal measure... and know when each matters most. If you enjoy bringing structure to complexity and seeing tangible results from your work, this role puts you at the center of how UCR grows. You
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external partners are actively connected, that activities are well-organized, and that what happens at UCR is visible both internally and externally. This is a hands-on, operational role at the center of the