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electronics and hardware/software integration. Experience with Python-based programming tools for data analysis, automation, and instrument control. Hands-on experience operating and maintaining cryogenic
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crucial role in controlling risk. The project aims to investigate how abrupt changes in dynamics, such as hidden Markov models or statistical jump models, affect the optimal decision-making process for
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for geometry assurance – integrating live sensor geometric sensor data with simulation for real-time control and adaptive assembly. This builds on existing work within the group on digital twins for geometry
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that can actively control temperature (via infra-red heating lamps and soil warming cables) and atmospheric CO2 (via the addition of CO2 gas). A bespoke microprocessor-based feedback control system will be
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sensor geometric sensor data with simulation for real-time control and adaptive assembly. This builds on existing work within the group on digital twins for geometry assurance. AI for automatic tolerance
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Integrated photonics is a vibrant research field dealing with the generation, processing, and detection of light at the chip scale. Inverse design, the computer-aided automatic design of photonic devices
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construct field-based open-top plant growth chambers that can actively control temperature (via infra-red heating lamps and soil warming cables) and atmospheric CO2 (via the addition of CO2 gas). A bespoke
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/ML to the technology level. You have a solid background in programming (deep learning, reinforcement learning, etc.), electronics, high-speed data acquisition and automatic control. The basic
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environment. We are looking for someone who can support development of a robust workflow for automatic speech recognition (ASR) in audio recordings of dialectal Arabic speech, to generate transcripts for use in
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and control. Experience with physics-informed methods. Practical experience with networking, communication protocols, and virtualization. Preferred Knowledge, Skills, and Abilities Experience in