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Field
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not necessary as training will be provided. Experience of computer modelling is desirable but not essential as full training will be provided in an active and well-resourced research group based in
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for entry into a PhD program. A background in machine learning, inverse problems, scientific computing, or related data-driven methods is highly desirable. You are curious about combining physical modeling
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-driven, and grounded-on-Country initiative introduces a transformative model of care that integrates ancient cultural wisdom with modern neuroscience and digital innovation—addressing long-standing health
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control over modelling, animation, visual effects and compositing. Building these systems requires considerable expertise and can be repetitive, as each task may involve constructing or adapting large
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In this PhD position, you will help design the next generation of circular plastics systems by combining hands-on polymer processing with data-driven modelling. The PhD study is a full-time, fixed
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flood risk modelling, to answer questions that no existing dataset can address? Are you motivated by the challenge of generating credible extreme flood scenarios that lie beyond the range of historical
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Are you interested in AI applications in flood risk modelling, to answer questions that no existing dataset can address? Are you motivated by the challenge of generating credible extreme flood
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when manipulated content is used to incite hostility toward marginalized groups. While large language models (LLMs) offer potential for fact-checking and counterspeech, current systems often struggle
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$230.7m of external research funding in 2022, and is the recognized leader in experience-driven lifelong learning. It has campuses across the United States and Canada (in Boston; Charlotte, North Carolina
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(WEFE) nexus, and model-based learning and communication. The group makes use of a variety of tools and techniques: stakeholder mapping, governance analysis, participatory modeling, non-linear feedback