Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
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
-
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
-
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
-
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
-
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
-
high-impact publications. 2-year appointment, with potential for extension subject to performance and fund availability. Responsibilities Develop advanced statistical and machine learning modeling
-
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
-
• Develop and implement generative AI models for urban landscape planning and design • Interpret and analyse data • Collaborate with other team members to conduct interdisciplinary research • Publish
-
will be for a period of 2 years at the first instance, with the possibility of renewal Since April 2015, SSR has been creating change through impactful social service research and capability development
-
characterization of integrated memristor devices and systems. • Develop algorithms and system-level integration strategies to harness the capabilities of AI accelerator for machine learning and deep learning