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Field
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• Possess a PhD degree in relevant field, with demonstrated experience in the following such as: • Experimental ballistics tests on rock / cementitious materials • Modelling of high-rate
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theoretical modeling of free-electron-driven X-ray photonics. Working closely with experimentalists, the research fellow will lead the study of coherent X-ray emission from free-electron-driven van der Waals
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Biotechnology and Bioprocesses, Membrane Technology, Chemicals and Materials, Resource Recovery, and Modelling & Artificial Intelligence. By harnessing its cross-cutting, interdisciplinary, and transformative
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responsible for working closely with the Principal Investigator on one or more research projects: Conduct research on large language models (LLMs). This includes developing and evaluating LLM methods (e.g
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Apply by: 12/10/2026 Role Description About the Role We are looking for an enthusiastic researcher to develop advanced modelling and optimisation methods to support the transition towards lower-carbon
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Center for Drug Evaluation and Research (CDER) | Southern Md Facility, Maryland | United States | about 17 hours ago
therapeutics and generic drugs. These efforts cover more than just medicines. Research Project: The overarching research project supports computational modeling efforts to address issues in polypharmacy and
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rates, antagonist interactions and failure mechanisms of conventional and emerging crown materials. Building on the Oslo wear model, the project will adapt wet abrasion testing from composite fillings
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influenced today’s widely used AI products. For more details, please view: https://www.ntu.edu.sg/eee We are looking for a Postdoctoral Fellow to lead research on neuromorphic materials and devices. The role
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, generating process, material, and structural data to support model development, validation, and process consolidation. Develop and apply physics-based and data-driven modeling frameworks to describe, predict
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About the Role We are looking for an enthusiastic researcher to develop advanced modelling and optimisation methods to support the transition towards lower-carbon, more efficient and resilient transport