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Field
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statistical methods, computational models and/ or machine learning algorithms to analyse environmental and infectious disease data; - Collaborate with multidisciplinary and international teams of researchers
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Model Development: • Design and implement a hybrid physics-AI spatiotemporal modeling framework for translating satellite-derived Land Surface Temperature (LST) data into high-resolution ambient
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The National University of Singapore is seeking a highly motivated Research Fellow to join an interdisciplinary research project on Transforming Waste into Carbon Sinks – The Future of CO₂ Capture
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recognised expertise in both experimental and computational hydrogen materials research, spanning materials synthesis, characterisation, atomistic modelling, and materials informatics. We maintain strong
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 4 hours ago
regression, principal component analysis, and artificial neural networks — to determine optimal modeling frameworks for high-dimensional in vitro data generated by platforms such as organ-on-a-chip systems and
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and use it to compare wear rates, antagonist interactions and failure mechanisms of conventional and emerging crown materials. Building on the Oslo wear model, the project will adapt wet abrasion
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in computational molecular and materials science and nonequilibrium statistical mechanics. Key responsibilities will include: Research: Develop a coherent, quality research program focused
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into models of stratospheric chemistry to quantify their effects on stratospheric composition, with particular emphasis on ozone. The postdoctoral fellow will also participate in planned stratospheric airborne
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to investigate the mechanical, thermal, and coupled behaviors of materials and systems. The position will involve collaboration with experimental researchers to validate computational models and advance
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AI Automated materials science workflows, including tools such as atomate2 Agentic workflows for scientific campaigns, including harnesses for reasoning models As a member of the Terascale project