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be developed, capable of operating in reactive, online settings where the data distribution may shift over time. Key challenges include detecting prediction failures, designing self-correcting update
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, analysis and simulation AOCS modelling and software, including automatic code generation, hardware and spacecraft avionics Pointing error engineering Advanced control, optimisation and estimation techniques
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: identify data anomalies, inconsistencies, or transformation errors; compare source data against imported data to ensure accuracy and completeness; automate validation procedures, where feasible
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mode effects analysis (FMEA), fault tree analysis (FTA) and hazard analysis. Experience in performing other RAMS analyses (such as Petri-Nets, Markov graph or common cause analysis) would be an asset