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candidates with a background in meteorology, climatology, physics, and any related discipline, and a strong interest in applying advanced physical and computational methods to real-world challenges in the area
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-suppressing effectors from the major wheat pathogen Zymoseptoria tritici. These effectors have diverse phenotypes when expressed in plants and many have high-confidence AlphaFold predictions. This project aims
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to make fungal gene knockout strains for subsequent characterisation. In addition, high-throughput screens of microbial collections will be used to identify antagonistic interactions between specific fungal
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solutions for maritime propulsion systems. The primary aim of the project is to design and implement a flexible, high-performance control strategy for an integrated power system consisting of an ammonia
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bulky actuators (often a stepper motor) and discrete components leads to a large capsule size and high manufacturing cost. Activation often requires external commands or pre-programming, and accurate
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a disproportionately high disease burden. The project is built on a powerful two-part methodology: Culturally-Adapted Data Acquisition: You will fine-tune a multilingual LLM to interact with patients
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, few people are trained in its operation. This PhD project will involve training on, and the further development of native mass spectrometry technology. The student will operate within the Advanced Mass
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to historical archives in the UK Ability to produce high-quality presentations and written reports Candidates with unconventional academic backgrounds are encouraged to apply if they can demonstrate their
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early risk identification. This PhD project aims to design and develop personalised 3D-printed insoles with enhanced offloading performance and integrated sensing capability. The work will explore novel
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dimethylsulfide (DMS). This is because coastal sediments typically have high salinity, and thus high sulfate levels. In high-sulfate ecosystems, sulfate-reducing bacteria (SRB) may outcompete methane-producers