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microenvironment to weaken resistance mechanisms and enhance the efficacy of existing treatments. By manipulating stress responses in fungi such as Saccharomyces cerevisiae and Aspergillus nidulans, the project aims
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necessarily require formal education in geotechnics. Applicants with a background in mechanical/materials engineering or alternatively mathematics/computer science with an interest in numerical modelling
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Postgraduate Application’. Use ‘Course Search’ to identify your programme of study: search for the ‘Course Title’ using the programme code:8090F select ‘PhD Mechanical Engineering (full time) – 8090F' as the
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motivated PhD candidate with interests and skills in computational modelling and simulations, fluid dynamics, mechanical engineering, physics and applied mathematics. You should have experience in one or more
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computer science, mechanical engineering, or aerospace engineering. You should have programming experience applied to physics/engineering problems and/or experience with machine learning and ML. The University
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. Starting in April 2026. Later start dates may be possible, please contact Dr Donya Hajializadeh once the deadline passes. You will need to meet the minimum entry requirements for our PhD programme. We
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computer science, mechanical engineering, or aerospace engineering. You should have programming experience applied to physics/engineering problems and/or experience with machine learning and ML. The University
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mechanical accuracy for small organic molecule energetics, but are too slow for routine use in medicinal chemistry. This collaborative, industry-funded, computational project will i) use state-of-the-art
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mechanisms to guide the design and formulation of nanoparticles with superior drug delivery properties. Investigate the interaction between ultrasound, nanoparticles, and biofilms to assess antimicrobial
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, mechanical, civil, and materials engineering. We welcome applicants with a background in: - Computer Science - Aerospace Engineering - Civil Engineering - Physics If you have a keen interest in AI, data