227 developer-"https:"-"https:"-"https:"-"Institut-Agro-Rennes-Angers" Fellowship positions in Singapore
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scientists and strives to bring the quantitative science and biomedical research communities together. We invite applications for a Research Fellow/Senior Research Fellow position for development of risk
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, developing robust sensing protocols, and delivering solutions for real-world applications. The successful candidate will join a multidisciplinary team and contribute to publications, project management, and
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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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is to develop real-time truck-drone collaboration system to enhance Singapore safety and resilience and using learning-based approaches. Key responsibilities include: Collecting and analyzing relevant
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to develop novel hygroscopic, moisture activated heating materials that can absorb moisture from ambient air and convert it into thermal energy. The goal is to create a biocompatible, safe, and effective
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to develop novel hygroscopic, moisture activated heating materials that can absorb moisture from ambient air and convert it into thermal energy. The goal is to create a biocompatible, safe, and effective
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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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optimise its role in maximizing fusion performance Analyse the linear and nonlinear dynamics of key micro-instabilities to identify the fundamental physical mechanisms governing turbulent transport Develop
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high-impact publications. 2-year appointment, with potential for extension subject to performance and fund availability. Responsibilities Develop advanced statistical and machine learning modeling