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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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Power Platform, including Model‑Driven and Canvas Apps, Power Automate, Power Pages (Liquid, authentication, portal customisation), and Power BI analytics. Strong Azure PaaS engineering skills, including
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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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Purpose Are you an AI/GenAI engineer who loves shipping real systems? Join Stanford's Enterprise Technology team to design, implement, and support AI solutions across university use cases. In this role
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for rankings agencies, and developing effective assessment plans for all accredited programs. The Director serves as the school’s primary resource for analytical support, providing data-driven insights
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modeling. For more details, please view https://www.ntu.edu.sg/cee. We are looking for a Postdoctoral Researcher to advance innovative research in multiscale clay science and geotechnical engineering. The
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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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UW into an AI-powered University. This role will work with various campus stakeholders, IT teams and external partners to drive innovation through consulting, evangelism, agent-building, and AI model
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on the contributions of talented and driven individuals who share in our mission, vision, and values. If your expertise and experience align with the goals of our institution, we would be thrilled to hear from you. We
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engineering, biotechnology, computational biophysics, bioinformatics, data science, or a closely related discipline with a strong academic record Genuine interest in data-driven and physics-based modeling