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. You will play a key role in a new project using big datasets and innovative computational approaches to identify genetic regions regulating splicing and gene expression, and investigating how disruption
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the air conditions in underground stations. The proposed research will be carried out with the use of Computational Fluid Dynamics (CFD) to simulate the underground station environment with the possibility
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products to be used in plants. Lead the project and plan own workload Publishing scientific papers. Presenting work and results to both the KTP supervision team and at scientific meetings. Ultimately deliver
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countries and beyond. Training and Career Development As a PhD student, you will join the Faculty of Science Graduate School, which provides a comprehensive programme of professional skills training tailored
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. With a strong background in materials science, engineering and manufacturing, the ideal candidate will possess a deep understanding of characterisation techniques from advanced microscopy techniques
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agricultural management strategies. Depending on the interests of applicants, this project will include computer modelling, data science and ecological data collection. Applications are welcome from any
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will primarily support the Head of School (Professor George Panoutsos, Chair in Computational Intelligence) and his research activities in the area of Machine Learning (ML) for Engineering, focusing
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), to join the Health Economics and Decision Science (HEDS) section. The successful candidate will split their time (initially 50/50) across two key programmes. First, the NIHR-funded Target Trials in Mental
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phenotyping: You will use remote sensing technology to monitor plant stress use microscopy to visualise root interactions with soil fungi. Computational skills: You will receive training in advanced statistical
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Improvement UK Network (PHI-UK): https://www.gla.ac.uk/schools/healthwellbeing/research/mrccsosocialandpublichealthsciencesunit/programmes/systems-science/sipher/phi-ukpolicymodellingforhealth-introduction