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engineering/electronics/sustainable engineering area) or industrial background. The key is having good hands-on experience in sustainable design and implementation, or the enthusiasm to pick up new skills. You
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submissions A strong understanding of contemporary debates in AI governance, evaluation, assurance, agentic AI and/or physical AI Experience designing and convening events or roundtables with senior
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disciplines. Undertaking stakeholder engagement and co-designing activities with project partners. Mentoring and supervising higher degree by research students and early career researchers. Translating research
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, observational astronomy, systems engineering, or satellite mission operations; Experience with space systems development and testing; Experience in the design, development, and testing of space instruments
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, and electrical grids. We are particularly interested in candidates with hands-on experience in network programming and network security systems design, along with solid software programming skills
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Materials, Bioinspired Materials and Sustainable Materials. For more details, please view https://www.ntu.edu.sg/mse/research . We are looking for a Research Fellow to develop membrane catalysis technologies
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Materials, Bioinspired Materials and Sustainable Materials. For more details, please view https://www.ntu.edu.sg/mse/research . We are seeking a highly motivated and interdisciplinary Research Fellow to
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tools (e.g. Altium Designer, KiCad, OrCAD/Allegro), with hands-on experience of board assembly, bring-up and debugging using standard laboratory instruments. They will have experience of embedded systems
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proteins · Supervise and instruct graduate and undergraduate students in Dr. Pengfei Li’s lab Minimum Education and/or Work Experience PhD required in related field. Qualifications - A PhD is required in a
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, molecular and cellular biology techniques, and experimental design. • Experience with kidney organoid culture, CRISPR-Cas9 genome editing, animal models, histology, microscopy, or next-generation sequencing