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12 Sep 2026 Job Information Organisation/Company KTH Royal Institute of Technology Research Field Computer science » Other Engineering » Materials engineering Engineering » Other Researcher Profile
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the knowledge, skills, and attitudes identified in program outcomes. Digital literacy and demonstrated fluency in technology systems, and an ability to model and facilitate use of current and emerging digital
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demonstrate fluency in technology systems, and an ability to model and facilitate use of current and emerging digital tools to support research and learning. Demonstrated ability to develop technology-enriched
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and generative models for protein structure and function, advancing AI-enabled design-build-test-learn workflows, and creating new tools for the characterization and validation of engineered proteins
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and compound flood modeling (rainfall-driven and wind-driven) and geospatial decision-support systems to advance the goals of the Rhode Island Natural Hazards Collaborative, and will serve as the
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geoscience, energy systems, materials modelling, fluid dynamics, and other scientific and engineering domains where data-driven models must interact with physical knowledge. Such problems raise fundamental
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Genome Initiative (MGI), Integrated Computational Materials Engineering (ICME), artificial intelligence, and data-driven materials discovery. Areas of Interest The department seeks candidates with a
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: Why work at Villanova?Join a mission-driven organization. Since Villanova University’s founding in 1842, we have been inspired by the values of truth, unity, and love, and are a community dedicated to
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learning and data-centric AI methods to develop reliable models of student engagement and stress and ultimately provide meaningful, data-driven insights for educators. The researcher will work closely with
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for finance. Deploying the agentic economic world models and the transformer architecture for AI-driven financial econometric tasks such as covariance matrix estimation and time-series forecasting