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modeling. Background in interdisciplinary research teams. Application Instructions Please submit: : A cover letter describing your research interests and fit for the project. Curriculum vitae. One or two
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discovery. The successful candidate will develop new, openly accessible datasets and machine learning models for modeling redox-active solid-state materials. Candidates who are nearing completion
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and integrate emerging AI techniques (e.g., agentic workflows, LLMs) into scientific problems, ensuring methods effectively solve real domain challenges. Advanced Model Development: Design and debug
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to quantify energy consumption, performance and cost benefits. In this role, a successful candidate will perform vehicle modelling and simulation of advanced powertrains to quantify the impacts of new component
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/i/a screening, single-cell multiomics, tissue engineering, and animal models. Our current research primarily focuses on four key areas: 1) Developing robust, chemically defined differentiation
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for: • Advancing numerical modelling methodologies, including AI‑assisted surrogate models • Designing and conducting impact experiments for model validation • Developing research proposals and leading individual
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to transform the way environmental and social data are integrated into fisheries management by combining advanced ocean forecasting, species-specific modeling, and social science to develop adaptive strategies
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. Opportunities to Contribute Develops dynamic river‑lake network models to assess geochemical and ecological changes—including carbon cycling and elemental fluxes—resulting from enhanced rock weathering. Writes
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simulation and flood inundation modeling. River basin planning and operations modeling, including reservoir simulation and optimization. Hydrodynamic modeling of water temperature and quality constituents
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the opportunity We are seeking to appoint a Postdoctoral Research Associate in Mathematics and Statistics to work on a project entitled “Data-driven modelling of dynamical systems: A measure transport