479 parallel-computing-numerical-methods-"Simons-Foundation" PhD positions in United Kingdom
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Field
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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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advanced quantum optics methods in both discrete and continuous variables with cutting-edge solid-state systems aimed at pushing the limits of fundamental research and applications such as optical computing
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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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of our approach is the innovation of novel methods to investigate genome function. For example, we have recently developed ways to map the binding of nucleic acid-interacting drugs and small molecules
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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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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
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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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the harmful effects of deepfakes on ordinary people. You will draw on methods from psychology, linguistics, data science, and computer science, such as behavioural analytics, neuroimaging, face and voice