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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
We are pleased to announce a self-funded PhD opportunity for Quantitative assessment of damage in composite materials due to high velocity impacts using AI techniques. Composite materials, such as
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reduces crack propagation in composites, reduce failure due to delamination and significantly improves fracture toughness [Williams et al, Journal of Materials Science 48, 3, 1005-1013, 2013]. In addition
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, their composites, and analyse, characterise, or model the reaction pathways and the properties of involved phases. The role holders must have very good knowledge and expertise in material physics and/or chemistry or
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appointment from 01.09.2026 or shortly thereafter. The position is for 3 years, and the workplace is in Aalborg. Your work tasks A PhD stipend is available in the field of glass materials for reliable and
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involve protein handling, general laboratory (bio-)chemistry, data analysis and comparison to expected physics. Due to the complex structure of the composite material, we expect emerging effects which can
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Funding Source: DLA award Eligibility: Available to home fee status and UK domicile EU students We are seeking an enthusiastic PhD candidate to join the Centre for Polymers and Composites (CPC
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for Dynamic and Universal Electric Mobility - Eng-PhD-21-25 Self-Healing Composite Pipelines for Sustainable Water Infrastructure - Eng-PhD-18-25 Multi-stage valorisation of plant-based biomass waste(s) using
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Expressions of Interest for PhD Scholarships at SMaRT-Pack Job No.: 690308 Location: Clayton campus Employment Type: Full-time Duration: 3.5 years fixed-term appointment Renumeration: 41,555 in line
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PhD position funded by AEI agency (Spanish Government) TOPIC: Magneto-ionics for information technologies: secure and energy-efficient memories and advanced computing A PhD position is available
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materials synthesis, advanced operando characterization, and lab scale testing. We use robotic, high-throughput methods, and data science to accelerate novel sustainable materials discovery. PhD Position