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, contributing to neuronal toxicity. In this project, your work will help define the origins of RNA toxicity in HD - a critical step toward developing therapies. Your job As a PhD candidate in this project, you
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AI-driven quantitative analysis and predictive modelling of biomaterials, tissues, and regenerative constructs. The project combines advanced 2D and 3D bioimaging, including micro/nanoCT, confocal
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research environments in Computational Science, the research and education has a unique breadth, with large activities in areas such as numerical analysis, mathematical modelling, development and analysis
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through a model-driven approach, i.e. a combination of simulation- and data-driven methods and tools with data analysis and machine learning as an important part. The work builds on established theories and
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of software and models toward deployment in various settings and platforms. Serve as a computational liaison to research computing and IT groups at UD and partner institutions. Educate, train, and advise both
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Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
interested in recruiting faculty members who use and develop artificial intelligence methods and mechanistic mathematical models to address fundamental questions in biology. Examples of research topics include
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models, collaborative robotics, multimodal interaction, AR/VR interfaces, and cognitive models of human-AI joint action. A successful candidate will be expected to develop a vigorous, externally funded
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. Our dedicated and compassionate faculty and staff are driven by a common mission: Contribute to innovative approaches in predicting, preventing, and curing diseases, shaping the future of medicine
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About the Opportunity Summary Reporting to the Assistant Vice President for Community Relations, the Director of Outreach and Programming will develop, coordinate, administer, and evaluate community
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://www.ntu.edu.sg/gifts . We are looking for a Research Fellow to spearhead the development of economic world models that bridge AI models with quantitative finance theory. The role will focus on developing economic