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in the areas of Hydrological and Earth System Modeling and Artificial Intelligence (AI). The successful candidate will have a strong background in computational science, data analysis, and process
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interaction, advanced numerical modelling, experimental techniques, sensor development, data-driven methods, and artificial intelligence for industrial applications in energy, process, and materials engineering
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. Connections working at Princeton University More Jobs from This Employer https://main.hercjobs.org/jobs/22069950/lead-research-software-engineer Return to Search Results
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methodologies for risk-based inspection and maintenance planning in wind turbine systems. You will work on designing a robust, data-driven decision framework that integrates structural models, probabilistic
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performance measures and reporting frameworks that enable data-driven and evidence-based decision making. Represent the College of VE on University-wide working groups and forums, ensuring the College
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Center (NUBIC) within the Institute for Cognitive and Brain Health (https://cbh.northeastern.edu/ ) in the Interdisciplinary Science and Engineering Complex at Northeastern University (https
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expertise in design-driven approaches to coastal development, sustainable tourism, and the yachting sector. The position aims to reinforce the laboratory’s interdisciplinary team and contribute
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the Arctic, experimental tests of climate driven changes in carbon export from land and turnover and release of greenhouse gases (CO2 and CH4 ) from headwaters, and use of machine learning and process-based
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for Experiential AI is built around the challenges and opportunities made possible by human-machine collaboration. The Institute provides a framework to design, implement, and scale AI-driven technologies in ways
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apply AI and data-driven modelling to predict system efficiency - balancing air purification with energy consumption. It will also explore how sensor feedback can control treatment systems and communicate