469 parallel-computing-numerical-methods "Simons Foundation" PhD positions in United Kingdom
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validated surface functionalisation methods that significantly improve metascintillator performance, accelerating the development of advanced radiation detectors for ToF-PET and enhancing early cancer
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-the-loop testing, and advanced AI methods will further enrich the student’s research experience. The student will have the opportunity to join a vibrant community and team of researchers. This project will
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skills include: Interest or background in composite materials, particularly in modelling and/or testing Basic understanding of finite element methods (FEM); any exposure to impact or burst mechanics is a
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materials, particularly in modelling and/or testing Basic understanding of finite element methods (FEM); any exposure to impact or burst mechanics is a plus Familiarity with FE simulation tools such as ANSYS
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appropriate media and methods. Communicate complex information orally and in writing to a range of stakeholders including those who might not be familiar with the work. Attend and present research findings and
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and studded footwear. It will also provide excellent employment opportunities to the researcher. Aims: (1) to enhance current traction testing methods to better reflect player boot-surface interactions
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processes. Objective 2: Develop methods to measure and assess interoperability, helping identify where and why issues arise. Objective 3: Create solutions that address interoperability challenges and meet
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transparency and explainability of AI decisions is equally important, requiring innovative methods to build trust among stakeholders and ensure compliance with stringent industry standards. Additionally
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
. This PhD project will tackle that challenge by developing intelligent methods that combine AI techniques such as language models that interpret technical text and knowledge graphs that map engineering
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candidates with a background in meteorology, climatology, physics, and any related discipline, and a strong interest in applying advanced physical and computational methods to real-world challenges in the area