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About the Team The NUS Academy for Healthy Longevity operates as a highly collaborative, multidisciplinary research team led by Prof Andrea B. Maier. Each research project is structured with a
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to interpret mathematically different classes of AI models, and which we believe can be used in manufacturing contexts. The outcome of this work will be a validated compilation of quantitative information
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to enable high quality work in strategic directions that are of significant impact to industry, science and technology. The Research Fellow will contribute to the development of an AI-assisted, data-driven
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publication list Two educational or professional recommendations All documents must be in English or include an official English translation. Connect with ORISE...on the GO! Download the new ORISE GO mobile
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and digital media. You will work closely with the Project Investigators, contributing to all stages of the research process, including design, data collection, analysis and dissemination. The role will
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their role in particle growth. This role involves new laboratory- and computational chemistry based research into atmospheric processes. The successful candidate will work with Professor Zongbo Shi and other
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must be in English or include an official English translation. Connect with ORISE...on the GO! Download the new ORISE GO mobile app in the Apple App Store or Google Play Store to help you stay engaged
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to apply for more than one post and all three researchers will be expected to work closely, through regular collaboration visits, to maximise the overall scientific outcomes of TRANSCEND; please state your
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. The place of work will be at campus Porsgrunn. About the doctoral project The person appointed will be affiliated with the research project pavement materials and fatigue damage modelling, which is headed by
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physics. You will undertake high-impact research using data from the Large Hadron Collider (LHC) Run 3, with a focus on better understanding the Standard Model and identifying potential Beyond the Standard