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using advanced geological modeling tools such as Datamine software, Leapfrog Geo and Surfer. Supervise MSc/PhD students working on related tasks. Publish high-impact papers and contribute to funding
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a multidisciplinary team. Preferred qualifications: Experience in grinding technology. Familiarity with process simulation software (e.g., USIMPAC, MODSIM, METSIM). Prior collaboration with industrial
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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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, Education, qualifications and experience PhD in a relevant field such as plant sciences, computational biology, or bioengineering with a focus on image analysis. Proven experience with image processing
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: The centre has been recently created to address enduring process challenges in Chemistry and Engineering disciplines and create an environment for interdisciplinary research. The research program of ACER is
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quantum dots for downconversion mechanism. Candidates should have demonstrated experience and hands-on expertise in chemical synthesis, functionalization, characterization, thin-film processing of colloidal
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processes. This project focuses on utilizing computational techniques to understand and enhance the performance of catalysts in reactions such as hydrogenation, oxidation, and biomass conversion. We
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, or biomedical engineering, or a related field. Strong background in materials characterization and manufacturing processes. Experience with CAD/CAM software and 3D printing technologies. Excellent
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. Simulation Tools: Proficiency in simulation software (e.g., AnyLogic, SimPy, MATLAB/Simulink) to replicate waste management systems. Waste Management Processes: In-depth understanding of waste collection
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. Candidates should hold a PhD in Natural products chemistry, Phytochemistry, Cell biology, Pharmacognosy, Cosmetology, or a related field. The successful candidate will focus on developing new formulations with