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Field
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, analyse, and validate innovative numerical algorithms and mathematical frameworks for problems arising in materials, fundamental physics, dynamics, optimisation, control, uncertainty quantification, inverse
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democratic, organisational, and societal values such as algorithmic fairness, transparency, explainability (XAI) into rigorous, quantifiable engineering metrics without sacrificing the general utility of said
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of experimental hypotheses Developing and coding the appropriate algorithms and methods that implement the novel concepts and model. Gathering experimental data to test hypotheses or measure phenomena
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given to those with expertise in two or more of the following areas relating to the position: AOCS subsystem architecture, design, testing and verification, including control algorithm design and tuning
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/segment/payload system architectures and performance, signal-in-space and signal processing, GNSS receivers, algorithms, OD&TS, formation-flying and RF/optical metrology. Duties You will report to the Head
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fundamentals (TCP/IP, client-server model, sockets, and API communication tools like Postman/curl); solid grasp of data structures & algorithms, plus exposure to vector databases and Retrieval-Augmented
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(for example insect-eye–inspired motion detectors for planetary landing and insect-inspired navigation algorithms) to evolutionary and neuromorphic approaches to autonomous control, as well as soft-robotic