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Field
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cutting-edge molecular techniques and generate gene knockouts to identify new enzymes and pathways involved in this process. Finally, the PGR will utilise plant infection models and high-resolution
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mixtures, (ii) assay key fitness measures of gene-edited medflies lacking Ceratotoxins. (iii) Insect control Depending upon interests, explore (via experimentation, modelling, or quantitative literature
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-specific TEM protocol will be used to reveal their subcellular localisation. This work will be done at UEA and IOCAS (Prof. Shan Gao). Objective 2: Using the genetically tractable model diatom Phaeodactylum
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environmentally viable at scale. Research Aims: Process Intensification & Scale-Up Design and evaluate scalable MEC architectures (cassette and containerised). Use CFD modelling and lab pilots to optimise
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model), Imaging data acquisition and analysis (Positron Emission Tomography) Complementary training includes research ethics, scientific communication, project management, and collaboration across
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production-grade system that integrates Vision Transformers for visual deepfakes, advanced Natural Language Processing (NLP) models for phishing detection, and a dedicated Explainable AI (XAI) layer
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containerised). Use CFD modelling and lab pilots to optimise hydraulics, mass transfer, and electrode configurations. Energy Integration Quantify full energy balances of MEC operation. Explore integration with
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control system that enhances Annual Energy Production (AEP), reduces mechanical stress, and improves fault detection using machine learning (ML) and physics-based modelling. The candidate will gain hands
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approaches to interpreting these large datasets, as well as computational models that capture low-dimensional structure that reflects the architecture of the neocortex. By working with researchers developing
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create a working framework that includes both experimental and modelling prototypes, including AI/ML tools to assist with the large number of variables involved. This project is seeking candidates with a