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IWRI - Postdoctoral Researcher in Bioinspired Circular Conversion of Multi-source Biomass Feedstocks
for enhanced water–nutrient coupling and improved plant nutrition. Design, synthesize, and optimize functional materials derived from renewable feedstock (marine and lignocellulosic) for applications in water
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North Africa that will optimize for maximum crop yields with minimal water and energy consumption and minimal capital costs. The candidate will regularly present research results at meetings and workshops
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optimizing treatment processes that use calcium carbonate-rich materials extracted from phosphate mine waste. These materials will be assessed for their capacity to neutralize acid gases (SOx, HF) emitted from
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collaboration with the University of Zurich. Mission The researcher will integrate, optimize, and stabilize the RNb-NeuS neural 3D reconstruction method within the AliceVision software architecture, enabling
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candidate to work on the development and optimization of surface coatings for bioresorbable coils. The project aims to develop a bioresorbable metallic and/or polymeric coils for the embolization
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sustainable and optimized processes for vanadium extraction and purification, with the goal of enabling large-scale redox flow battery deployment for energy storage. Scope of Work The successful candidate will
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profile, then don’t hesitate to apply. Responsibilities and qualifications Tasks and responsibility include Optimization of safe microorganisms to produce selected essential amino acids Genetic and
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13219 Position Summary: We are seeking a motivated and skilled Postdoctoral Fellow to join our research team. The successful candidate will work on optimizing methods for nanofibers extraction from
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position within a Research Infrastructure? No Offer Description The Gleb Wataghin Physics Institute (UNICAMP) invites applications for a Postdoctoral Fellow to join the project Advanced Quantum Optimization
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impeller performance, analyze hydrodynamic characteristics, and identify key synthesis parameters influencing material quality. The resulting models will act as a predictive tool for process optimization and