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-enabled mission planning, immersive XR training, predictive maintenance, and digital continuity. The environment is highly collaborative, combining ESA experts, industry partners, and research institutions
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individual and contextual factors predict successful knowledge transfer across virtual-virtual and/or virtual-real contexts. The outcome will contribute to new concepts and methods for studying spatial
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traffic demands increase, there is a growing need for innovative methods to continuously assess track condition and predict deterioration. This PhD project addresses this challenge by developing a novel
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scoring and targeted intervention of friability, (ii) reduce suspension line development timeline through prediction of optimal growth and elicitation conditions, and (iii) consolidate results into standard
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and responsible space exploration, with planetary protection at the core of its efforts. You are encouraged to visit the ESA website: https://www.esa.int/ Field(s) of activity/research