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-throughput synthesis, automation, and data-driven approaches. Key Responsibilities: Design and execute high-throughput synthesis workflows for solid-state materials, including intermetallics, chalcogenides
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RIE2025. The Laboratory’s objective is to propel Innovation and Technologies commercialisation through NTU’s innovation and NTI’s deep technology. NTI-NTU Corporate Laboratory aligns with Singapore’s
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mathematics, including medicine (STEM). Through the AI4X-PDF, we seek to nurture the next generation of research leaders working at the intersection of AI and STEM, driving innovation and strengthening
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to adapt and incorporate novel ideas and approaches in scientific industry. Demonstrated ability to formulate hypothesis and design effective experimental plans. Ability to design and implement new
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project - “Multifunctional aerogel-based integrated interleaves for future aerospace-graded carbon fibre reinforced polymer composites: design and related mechanisms”. Qualifications Applicants should have
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focus on the design, development, and integration of innovative sensors, actuators, and flexible electronic circuits tailored for wearable health monitoring devices. This role will involve exploring new
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aims to improve electrodialysis (ED) for REE separation by developing advanced membranes and integrating AI-driven optimization techniques. By combining materials innovation with machine learning
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environmental conditions Design and implement rigorous study Conduct wet-lab experiments Perform in-depth, critical data analyses Effectively communicate through presentations and high-quality journal
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About the job: The successful candidate will become part of the newly established Future Medicines Institute (FMI) chemistry group, focussed on the synthesis and iterative design of next generation
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research, to design of experiments, to control project spending. Research Fellow will also be dealing with internal, external stakeholders and will be accountable for the successful delivery to cost