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Job Description As part of our laboratory's research initiatives, we are conducting advanced research on the computational modeling and optimization of heterogeneous catalysts for various catalytic
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-on experience in optimizing extraction processes and characterizing bioactive ingredients from various biomass. Demonstrated competence in purification/isolation and structure elucidation of pure natural products
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research team. The successful candidate will work on optimizing methods for nanofibers extraction from various types of biomass, focusing on the development of efficient, sustainable, and scalable processes
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digital twins to develop innovative solutions for monitoring, analyzing, and optimizing urban systems in real time. The candidate will contribute to modeling interactions between physical and digital
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optimizing their performance in high-energy-density applications. The coated LFP materials should exhibit superior mechanical and chemical resilience, ensuring that the coatings maintain their structural
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of water intended for agricultural use. The selected candidate will contribute to the development and optimization of desalination processes (membrane-RO), the analysis of treated water quality (especially
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are gaining significant interest for sustainable seawater desalination. This postdoctoral position is part of a research project aiming to design, optimize, and evaluate electrochemical systems [electrodialysis
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, the validation is monitored through design of experiments and optimization of workflows much more rapidly than conventional approaches. The HTMR is a 100% Applied Sciences research laboratory, and is setting up
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. The successful candidate will collaborate with cross-disciplinary teams (biologists, engineers, chemists) to design, optimize, and operate bioreactors, digesters, and other equipment. By employing advanced
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valorization of microalgae for biotechnological applications. Successful candidate is expected to have: Experience in isolation, culture techniques of microalgae and cyanobacteria strains, growth optimization