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, particle image velocimetry and quantitative image-based analysis of aerosol transport. Design, fabrication and bench-top validation of an adaptive soft-mist inhaler research prototype. Low-inspiratory-flow
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. The student will gain hands‑on experience with plasma science, reactor design, chemical analysis, and renewable‑energy technologies. It’s an opportunity to contribute to real‑world climate solutions while
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of surface water, groundwater, and probabilistic seepage analysis, together with modelling and uncertainty assessment techniques. Consideration of these interacting processes may help improve the accuracy and
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. Required PhD student academic qualifications: Honours/Msc degree in microbiology/bioinformatics, with specific emphasis on functional microbial multi-omic data analysis. Knowledge of a programming language
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level 2 Workforce training Meet our facilitators Meet our consultants Meet our leadership and management teams Learning design and innovation Hybrid working solutions Training needs analysis
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explore how geometry, wettability, and fluid properties can be harnessed to achieve passive and energy-efficient liquid manipulation. The candidate will combine experiments and theoretical analysis
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for Bayesian/statistical modelling with uncertainty analysis or programming skills in Python, MATLAB or equivalent and a background in hydraulic, kinetic or systems models. Also highly desirable to have
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. Once the models are incorporated into a single System Architecture it will be analysed. The analysis will look at: the limits of the models. This will help to identify what has been and has not been
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experimental, engineering, and quantitative analysis), and embark industry engagement.
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environment and have opportunities to engage with national and international collaborators, develop advanced mixed-methods skills (including fundamental, computational, and AI-assisted analysis), and embark