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of organisms capable of efficient CO2-driven carbon cycling. Importantly, these can be harnessed for new CO2 capture and bioconversion processes that promise to outcompete current technologies, and are ideal
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programming and/or software engineering Electrical engineering and/or power systems. Application Procedure Informal enquiries are encouraged and should be addressed to Dr Jack Umenberger (jack.umenberger
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hold an offer of study at The University of Manchester before applying for this funding. Application procedure To be considered for one of these awards, candidates should submit a PhD application
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-term robustness and minimise false alarms. A good understanding of electromagnetics, RF propagation, signal processing, and machine learning would be beneficial. This project offers a unique opportunity
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to missed detections, unstable feature extraction, and reduced confidence in data interpretation. Current perception pipelines treat observations as direct ground truth, yet at sea the visual signal is a
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science, human-computer interaction, or a closely related discipline. Experience in machine learning, data visualisation, or software engineering is highly desirable. An interest in sociotechnical systems
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. Their performance, however, is strongly influenced by microtexture, crystallographic orientation clusters that develop in the material during processing. Controlling microtexture is critical for improving mechanical
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-quality simulation data. This PhD aims to fundamentally change the turbomachinery design process by replacing iterative RANS-based CFD loops with regression-driven inverse design. Instead of repeatedly
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. Basic proficiency in programming or scripting (e.g., Python, MATLAB, or similar) for data processing or device control. 4. Ability to set up, calibrate, and troubleshoot sensor systems (e.g., IMUs
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. Our implant combines photonics, microelectronics, embedded systems, advanced implant probe design and signal processing. There are opportunities for students from a variety of backgrounds to work on the