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places research and innovation at the heart of its educational project as a driving force of a business model. It focuses on applied research and innovation both in Morocco and Africa. The university is a
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Postdoctoral Research Fellow with expertise in large language models (LLMs) and electronic phenotyping to join our dynamic team focused on advancing cancer research through innovative data-driven approaches in
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SUSMAT-RC - Postdoc Position in Computer-Aided Design and Discovery of Sustainable Polymer Materials
candidate will work on an exciting project focused on extracting and analyzing experimental and computational data to develop predictive models for polymer-based materials. This project aims to leverage
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Job Title: 2026-2028 Post-doctoral Fellow - Neuroprotection and Resilience Location: Cambridge, MA About the Job Join the engine of Sanofis mission where deep immunoscience meets bold, AI-powered
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Job Title Postdoctoral Researcher Agency Texas A&M Engineering Department Mechanical Engineering Proposed Minimum Salary Commensurate Job Location College Station, Texas Job Type Staff Job
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and intelligent systems for industrial applications. Based within the School of Engineering and Architecture, IERG develops and applies cutting-edge analytics, modelling, and decision-support
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Mechanics and Turbulence” group and conduct research on data-driven techniques for turbulence modeling in LES and RANS. The initial contract will be for one year, with the possibility of an additional one
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force of a business model. It focuses on applied research and innovation both in Morocco and Africa. The university is a platform for experimentation and a pool of opportunities, for students, professors
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purpose-driven science and Cornell University's second-largest college. We work across disciplines to tackle the challenges of our time through world-renowned research, education, and outreach
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hydrologic and hydraulic models (e.g., WRF-Hydro, HEC-RAS, OpenFOAM, GSSHA, Delft3D, EFDC, etc.). Data Engineering & Computational Workflows – 35% Curate, preprocess, and analyze large environmental datasets