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its first targeted research projects around: Metallurgy & anti-corrosion materials Phosphates, intelligent fertilizers, silicon, and fluoride-based materials Energy storage (Electrolytes, Electrodes
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. Experience with data prediction and classification techniques. Computer Skills: Good proficiency with optimization tools (CPLEX, SAP). Experience with data analysis software. Soft Skills: Analytical mindset
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data. Knowledge of computer-aided synthesis planning (CASP) tools and retrosynthetic analysis software (e.g., AiZynthFinder, ASKCOS, IBM RXN). Familiarity with reaction condition prediction and reaction
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processing, fiber chemistry, or green chemistry principles. Proven experience in designing and optimizing biomass processing methods, including chemical, mechanical, and enzymatic treatments. Knowledge
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Osmosis (FO) — Reverse Osmosis (RO) system. The work of this project includes lab work, computer modelling, life cycle assessment, and techno-economic study. The project will contribute to protecting water
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, reports and projects. Oral and written communication skills. Computer skills/programming/modeling would be a plus. Candidate Criteria Ph.D. in Analytical Chemistry or a related field. Extensive experience
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with IoT technologies (smart sensors, connected devices) for real-time monitoring of waste systems. Circular Economy: Familiarity with circular economy principles as applied to waste management
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component. The battery management system (BMS) unit is not just a component, but a crucial element tasked with monitoring each cell of the battery and running algorithms to calculate state of charge (SoC
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geology and geomechanics principles. An experience in numerical modelling and/or petrophysics would be an asset for the candidate. The position is open to candidates holding a Ph.D. degree in Geology, Earth
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applications for a post-doctoral fellowship specializing in magnetic/electromagnetic separation in solid and liquid matrices. Applicants should have a thorough understanding of the principles of magnetic