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safer, more efficient, and sustainable mixed-traffic future. Key Responsibilities: Design and conduct driving simulation experiments for risk scenario analysis. Develop deep learning models, such as GNNs
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-constrained drone platforms. Design custom PCBs for lightweight, low-power drone platforms, including sensor interfaces, power regulation, embedded processors, and communication modules. Develop power-efficient
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. · Minimum 3 years’ postdoctoral research experience, as well as a demonstrated capability to achieve research excellence and develop research programmes and funding proposals, through in-depth knowledge
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Responsibilities Develop and implement Python‑based AI/ML models (e.g. LSTM or time‑series models) to predict long‑term properties of bioactive materials. Conduct independent testing on restorative and bioactive
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2025. Duties • Fellows will develop and implement a coherent specimen-based research programme that will advance knowledge and understanding one or more groups of tropical Southeast Asian terrestrial
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techniques will be favorable. Candidate should be working closely with PI to develop research ideas and themes, and also supervise younger PhD students or RA in the lab. Successful candidate will have the
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effects of urban greenery and develop a modelling platform to assess and optimize the cooling benefits of various types and configurations of urban greenery in Singapore Key Responsibilities • Conduct multi
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Prof Tan Meng How, works on developing and applying cutting edge biotechnologies, including high throughput next generation (NGS) sequencing and CRISPR-Cas, to read, write, and decipher genomes and
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on carrying out research according to the proposed milestones. Key Responsibilities: The Research Fellow (RF) will work on a project to conduct the research on development of Self-Healing Ductile Cementitious
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The School of Materials Science and Engineering (MSE) invites applications for the position of Postdoctoral Fellow. The postdoctoral fellow will conduct research on design and develop nanoscale