15 post-doc-image-engineering-computer-vision PhD positions at The University of Manchester in Uk
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scattering with computer modelling such as molecular dynamics simulations and AI-assisted data mining. The new technical capabilities will help bridge the current gap in biocide development, i.e., to link
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simple identification of nuclear material even when the typical signatures of the materials may be unavailable. X-ray imaging is commonly used to image concealed objects but x-rays are attenuated in
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methodology to simulate representative offshore operating conditions using a purpose-built prototype system, enabling experimental validation under combined electrical, thermal, mechanical, and environmental
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partnership with the Royce Institute and Cummins, you will study the microstructure of nickel-based alloys used in turbine wheels — vital components for hydrogen-ready engines and future power technologies
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-treatment facilities, and biorefineries. Feedstock choice, regional dynamics, and process side-streams all affect costs, energy use, and emissions. This PhD project will develop advanced computational models
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for over a century, the fundamental physio-chemical processes governing tree initiation and propagation remain inadequately understood, representing a significant scientific and engineering challenge
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approaches, assess mechanical and filtration performance post-regeneration, and quantify environmental trade-offs using ISO 14040/44-compliant lifecycle assessment frameworks. Guided by the principles
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Engineering, Computer Science or related disciplines. Experience in autonomous system, manufacturing/robotics and machine vision development will be an advantage. To apply please contact the supervisor, Dr Kun
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-free stipend based on the UKVI amount (£20,780 for 2025-26). We expect the stipend to increase each year. This studentship is related to a multi-institutional EPSRC Programme Grant “AMFaces: Advanced
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to increase each year. Tuition fees will also be paid. Home students are eligible. A funded PhD studentship is available in the field of computational inorganic chemistry. The project will involve prediction