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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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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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the position, the required skillset includes: Strong background in electromagnetic and optical modeling using tools including Ansys, Comsol, Matlab, and other methods. Expertise in wet chemical synthesis
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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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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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collaboratively on a multidisciplinary team. • Synthesize and manufacture unique design architectures comprised of coatings and bulk materials using a variety of manufacturing methods. Materials synthesis may
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, methods. (10%) Helping out with mapping group activities. (10%) Minimum Acceptable Education & Experience PhD Required Licenses & Certifications: Boating license, SCUBA certification Required Knowledge
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awareness among European policy-makers and citizens about these phenomena through innovative methods. The postholder will coordinate research activities, manage interdisciplinary collaboration, and lead the
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applications in economics using applied econometric methods, with an interest in the health and well-being benefits of arts engagement. Arts engagement can be broadly defined to include various forms of arts
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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