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Materials, Bioinspired Materials and Sustainable Materials. For more details, please view https://www.ntu.edu.sg/mse/research . MLab is seeking a Research Fellow to support the development and establishment
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Biotechnology and Bioprocesses, Membrane Technology, Chemicals and Materials, Resource Recovery, and Modeling & Artificial Intelligence. By harnessing its cross-cutting, interdisciplinary, and transformative
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materials. Experience in relevant laboratory techniques (e.g., cell culture, animal models, molecular biology techniques, etc.). Preferred Qualifications Education: Ph.D. in biological sciences. Work
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. Experimentally couple a membrane distillation (MD) module with a crystallization system. Generate and process scientific data obtained during research activity. Where to apply Website https
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of the mechanisms of oxide scale build-up, as well as the analysis of the mechanisms of the formation of the internal oxidation zone in annealed materials at high temperatures Creating predictive models using
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. Preclinical Evaluation: Conduct rigorous in vitro and in vivo efficacy, bio-distribution, and mechanistic studies using PDAC disease models. Data Integration & Dissemination: Analyze multi-layered experimental
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cell culture techniques, cell-material interaction, microscopy, histology, immunohistochemistry and physicochemical and biological assays. Standardization, analysis and documentation of tissue
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 21 hours ago
such as hydrogeology, groundwater flow, contaminant transport, and modeling of subsurface systems. Candidates should have experience with contaminant transport modelling tools and preferably university
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 11 days ago
researchers and educators. Position Summary The Department of Mathematics at the University of North Carolina at Chapel Hill invites applications for a postdoctoral position in the Cardiovascular Modeling and
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environment focused on physics‑informed AI tools for materials design and characterization. In a collaborative project with industrial partners, you will work on developing physics‑informed models for heat