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Field
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algorithm level languages such as Matlab/Simulink, Python or similar * Demonstrated, successful experience developing software to communicate and exchange information (e.g. commands, status, data) with
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. This may include writing and testing software in high level languages; writing and testing logic in hardware description languages; developing and testing signal processing algorithms from concept
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Model Based Design and Flight Testing of a Vertical Take-Off Vertical Landing Rocket (C3.5-MAC-John)
tested will have applications for landing on other planets or moons, or even propulsive landing of rocket stages on Earth. These missions require the use of novel guidance algorithms, sensors, and control
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capable of leveraging signals from terrestrial base stations, non-terrestrial networks such as LEO satellite, and complementary on-board sensors. Specifically, it will: To design reconfigurable airborne
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is required, particularly in the development of digital solutions, data processing and integration, computational modelling, or optimization algorithms. Preference will be given to candidates with
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findings regularly. Prototype algorithms, validate outputs, and document methods clearly Collaborate asynchronously with an international team, present findings regularly Experience with remote sensing
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Sensing (DAS) has emerged as a powerful technology for down-hole monitoring of flow processes in petroleum wells, using fibre optic cables as acoustic sensors. Despite its potential, current applications
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, fined tuned for zooming in on machine spatial reasoning, is within the scope of this project. Developing efficient algorithms for converting computer simulations of a system in a complex environment (e.g
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developing and testing with sensor fusion engines - Experience with navigation algorithm development - Effective written and verbal communication skills - Due to the requirements of our research contracts with
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interact with the world around us. However, the power requirements and carbon emissions of AI are equally dramatic: training a single state of the art algorithm has the same carbon footprint as the lifecycle