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development for data interoperability and system integration. Experience working with digital twin platforms, simulation environments, or real-time sensor data. Prior contributions to research software, open
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About the role The University of Leicester is proud to be part of the UK Nuclear Deterrence Network, a collaborative initiative with King’s College London and the Royal United Services Institute. As
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research in areas of concrete decarbonization, utilization of marginal and nonconventional pozzolans, prediction and mitigation of alkali-silica reaction, and development of sensors for assessing concrete
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or more senior research positions to analyze and model the delivery of clean energy and industrial decarbonization infrastructure associated with net-zero transitions. The role will report to the Andlinger
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Post-Doctoral Associate in Sand Hazards and Opportunities for Resilience, Energy, and Sustainability
the backbone of NYU’s global network university, an interconnected network of portal campuses and academic centers across six continents that enable seamless international mobility of students and faculty in
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, and NYU Shanghai, form the backbone of NYU’s global network university, an interconnected network of portal campuses and academic centers across six continents that enable seamless international
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. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU’s global network university, an interconnected network of portal campuses and academic centers across six continents that enable
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, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU’s global network university, an interconnected network of portal campuses and academic
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solutions and have the opporutnity to contribute to world-class research, we encourage you to apply! Opporuntities to Contribute Develops dynamic river-lake network models to track the geochemical and
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Nuffield Department of Clinical Neurosciences (NDCN), MRC Brain Network Dynamics Unit, Mansfield Road, Oxford The post holder will develop computational models of learning processes in cortical