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Description Postdoctoral Researcher in Mineral Processing, Battery Materials, and Sustainable Process Engineering. The researcher will join a multidisciplinary research program aimed at optimizing natural
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York University Abu Dhabi, seeks to recruit a highly motivated post-doctoral candidate in the areas of Artificial Intelligence (AI) for materials science, with an emphasis on structure-property
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students. YOUR TASKS The above-mentioned project is a research project funded by the Research Foundation – Flanders (FWO Vlaanderen). The project is carried out at the Department of Structural Engineering
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- or low-temperature) batteries, lithium- and/or sodium-based batteries, and solid-state batteries. Key Responsibilities: Design and execute experimental plans to develop and optimize next-generation battery materials
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carried out at the Department of Structural Engineering and Building Materials at Ghent University. Within this project, we are seeking a full-time (postdoctoral) researcher who will play a key role in the
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 3 months ago
models entails challenges beyond standard decision-making frameworks: calibration, inference, and optimization must operate over high-dimensional, continuous, and structured variable spaces. In
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by desorption, as well as crystallization and precipitation of Magnesium Ammonium Phosphate (MAP). These processes are tested and optimized on a pilot-scale wastewater treatment plant using real
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structures and minimizing condensation. The process not only produces a lignin oil rich in aromatic monomers and oligomers, but also leaves behind a carbohydrate-rich pulp suitable for further conversion
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, biochemical, and genetic studies to identify and characterize novel natural products with antibacterial activity. Develop and optimize screening assays for natural product discovery, including bioassay-guided
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hydrogel-based biomimetic matrices (notably GelMA) to support the generation, maturation and functional optimization of multicellular adipose organoids, and integrate them into microfluidic platforms