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modeling. For more details, please view https://www.ntu.edu.sg/cee . We are seeking a Research Fellow to contribute to cutting-edge research in multiscale clay science and geotechnical engineering. The
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: Computational materials modeling: DFT, molecular dynamics, phase-field modeling, or multiscale simulations. Data-driven materials discovery: ML models for property prediction, materials design, or synthesis
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | 28 days ago
almost 21,000 students coming from outside of the province. Our 6,000 faculty and staff foster a vibrant, purpose-driven community, that celebrated 200 years of academic excellence in 2018. Job Summary
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experimentally driven research combined with modelling, advanced characterization, and process optimization, contributing to the green transition and the European battery value chain. Working as a Associate Senior
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multidisciplinary experience in combining integrative computational immunology – data-driven, state-of-the-art single cell resolution and spatial methods, machine learning and kinetic modeling – with integrative
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STEM that provide transparent, citation-driven justification for synthetic inferences and for the scientific or engineering conclusions they support. 5) Secure AI: This area emphasizes the convergence
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highly qualified talent. We look for researchers from diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud
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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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technology organization for the University of Washington, responsible for strategic planning, oversight, and direction of the UW’s IT infrastructure, resources, and services. UW-IT provides critical technology support to
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the academic core and half serving in the clinical division—creates distinctive opportunities and considerations around operational alignment, technology deployment, workforce models, and compensation frameworks