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This is an exciting opportunity to undertake industrially linked research with the Laser Processing Group at the Manufacturing Technology Centre (MTC) and the Advanced Materials Research Group
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of Excellence for Biocatalysis, Biotransformations and Biocatalytic Manufacture (CoEBio3), which brings together world-leading industrial and academic partners including AstraZeneca, GlaxoSmithKline, Merck Sharpe
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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
to support this research through its deep expertise in aerospace engineering, composite materials, and applied artificial intelligence. As a wholly postgraduate institution with a mission to deliver industry
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microscopic structural and dynamical data, while thermodynamic and transport will be shared with and validated by experimental colleagues in academia and industry. This will allow us to ascertain key properties
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‘Campus’, please select ‘Loughborough’ and select the ‘Programme’ as ‘Mechanical and Manufacturing Engineering’. Please quote the advertised reference number ‘FP-HZ-2025’ in your application under
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and support seaweed industry innovation. Additionally, the successful applicant will conduct an industrial placement at Biotechnica. Methodology: You will receive training in advanced metabolomics, e.g
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Technology, Additive Manufacturing, and Materials Characterisation. Strong analytical skills and willingness to engage in experimental and interdisciplinary research and team. Funding Notes: Funding is for a
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. Working with directly with the British Geological Survey and project partners in industry including Gateshead Council (and Project Groundwater Northumbria) and the Mining Remediation Authority, this PhD
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systems research group, both of which have strong track records in 6G wireless systems, AI algorithms, air mobility systems, and industry collaboration. The project will deliver new beamforming antenna
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PhD: Systematic Exploration of Robot Behaviours for Manufacturing Tasks to Automatically Discover Failure Scenarios EPSRC Centre for Doctoral Training in Machining, Assembly, and Digital Engineering