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Field
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automated materials synthesis, characterization, electrochemical testing, and data analysis for battery systems. Participate in project planning, data collection and analysis to generate high-quality
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Job Description Prof Shyue Ping Ong’s Materialyze.AI lab at the Department of Materials Science and Engineering aims to pioneer the integration of theory, experiments, and AI to accelerate
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Engineering, Materials Science, Chemistry, or a related discipline. Strong knowledge of heterogeneous catalysis, catalyst synthesis, and catalyst characterization. Experience in catalyst scale-up, formulation
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development using cleanroom and wet-lab facilities, electrical characterization and data analysis, and integration of emerging materials such as carbon nanotubes and oxide semiconductors. The candidate is also
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-state batteries; high energy batteries; materials synthesis; Design and perform electrochemical, mechanical, and advanced materials characterizations. Collaborate with internal and external academic
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with high purity, improved color, and desirable sensory attributes; conduct analyses of the structural, nutritional, and functional properties of extracted plant proteins; characterize interactions
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or device fabrication Electrical characterization of materials Nanomaterials or bioelectronic interfaces Candidates should demonstrate strong experimental skills, creativity, and the ability to work
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. These projects integrate chemical synthesis, lipid and polymeric biomaterials, nanoparticle formulation and characterization, cellular immunology, flow cytometry, and in vivo studies. We are particularly
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, integration, calibration, or characterization of optical or ultrasound instrumentation. Salary and Rank Special Instructions Applications received by October 21, 2026 will receive full consideration. However
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research in advanced materials and soft device-related platforms by bridging polymer science, supramolecular chemistry, and interfacial engineering. Key Responsibilities: Design, fabricate, and characterize