632 web-programmer-developer-"https:"-"https:"-"https:"-"UCL" PhD positions in United Kingdom
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these could be developed into biomarkers. The student will sequence small RNAs from blood samples of healthy controls and individuals with DLB or AD. Using advanced bioinformatics, they will analyse small RNA
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development pipelines requires changes in meshing, solver technology, and verification practices. The project is designed to reduce this barrier by creating a practical approach that blends existing industrial
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. An optimisation tool has been developed that uses a genetic algorithm to optimise the location of BGI taking surface water flood risk reduction and the cost of different interventions into consideration. This PhD
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, introduces human error, and creates line-of-sight occlusions, disrupting surgical workflow. This interdisciplinary project aims to overcome these challenges by developing a vision-based marker-less navigation
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to develop a high-performance disposable analytical tool for the on-site detection of folic acid in several food matrices. This technology is based on our recently developed wireless and batteryless, near
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the group of computational aerodynamics and aeroacoustics (CA^2) led by Dr Zhong-Nan Wang at the University of Birmingham. The CA^2 research group focuses on developing high-fidelity Computational Fluid
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providing world-class professional development and networking opportunities that strengthen both research outcomes and student success. The Engineering and Mathematics group is part of the School
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providing world-class professional development and networking opportunities that strengthen both research outcomes and student success. The Applied Informatics group is part of the School of Computing
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respond over time (e.g. changing shape), controlled by the arrangement of differential materials within them. The goal of this project will be to develop responsive 4D-printed biomaterial devices for drug
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railway earthworks. Additionally, the project will integrate environmental data through data fusion and develop automated machine learning tools for anomaly detection and risk assessment. The effectiveness