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Materials, Bioinspired Materials and Sustainable Materials. The role requires in-depth expertise in electrochemical systems, advanced materials characterization, and multidisciplinary knowledge spanning
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and Mathematical Sciences at NTU to develop new knowledge and technologies. Key Responsibilities: Design of topological photonic devices Experimental study of topological and non-Hermitian photonic
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or equivalent. Independent, highly analytical, proactive and a team player Excellent teamwork and verbal, written communication skills In-depth knowledge relevant to the project domain. Demonstrated
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, electrical & electronic engineering, or equivalent. Background knowledge in signal representation/processing, visual data compression, and data-driven and machine learning/analysis. Prior research experience
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in translation of batch to continuous flow processes Experience in scale-up of flow chemistry Experience in oleochemistry Knowledge and experience in rational solvent design and green chemistry metrics
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Experience in reactor design is beneficial Experience in process control and PAT Knowledge and interest in closed-loop optimization Experience with Computational Fluid Dynamics Experience with laboratory
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functional interpretation of genetic variants. Proficiency in Python, R, or other bioinformatics languages. Knowledge of cloud computing, and high-performance computing (HPC) environments. Strong ability
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mentor undergraduate and PhD students, as well as junior research staff, equipping them with the necessary skills and knowledge to contribute effectively. Collaborate with interdisciplinary teams
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microscopes is also relevant. Working knowledge of electromagnetic simulations Good written and oral communication skills Competent in teamwork and presenting results in informative visuals Interpersonal skill
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-injection techniques, solvothermal/hydrothermal growth, and sol-gel processes. Expertise in semiconductor material characterization (XRD, SEM, TEM, EQE, PL, UV-Vis spectroscopy). Knowledge and experience in