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and development in the chemical conversion and valorization of hazardous waste streams, focusing on complex, reactive materials. Involves process design, optimization, and scale-up, including reaction
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the environmental performance of established and emerging processes. This role includes designing and conducting cradle-to-gate and cradle-to-grave LCAs, building life cycle inventory (LCI) datasets, and integrating
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data collection with stakeholders from participating schools, organize, and manage data storage (f) Process and conduct qualitative data analysis (i.e., transcribing, coding) (g) Write reports, be
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plasma process equipment. Characterize the influence of magnetic field on plasma flow. Conducts various design experiments to refine processes. Optimize vacuum coating processes, and leading R&D efforts in
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++, or Go, and frameworks like PyTorch or TensorFlow, is highly advantageous. Experience in developing and deploying machine learning models, particularly in natural language processing (NLP) and large
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including key components such as cell configurations, flow channels, electrodes, membranes, and catalysts for HER and other electrochemical processes. • Conduct CFD and electrochemical simulations
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required to give seminar(s). You are also required to acknowledge ARI in all your publications resulting from the period you are at the Institute. Application Process Please submit all documents in one
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framework on how to build up a generic framework to use learning-assisted approach to solve various optimization problems Develop mathematical modeling framework to find the optimal operation strategy Conduct
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. The successful candidate will take technical ownership of thin film deposition, materials characterization, and process innovation, contributing both strategic insight and hands-on leadership to research programs
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year for every year of sponsorship. Application Process Applications are open throughout the year. Applications received before 15 January 2026 will be considered for the 2026 intake. Interview by