415 web-programmer-developer "https:" "https:" "https:" "https:" "https:" "https:" "University of Kent" Fellowship research jobs in Singapore
Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
-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
-
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
-
, 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
-
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
-
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
-
of Materials Science and Engineering at National University of Singapore (NUS). With a strong focus on industrial projects, we are developing our exciting technologies beyond the lab scale. As a Research Fellow
-
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
-
Responsibilities: The candidate will study theoretically forward and inverse uncertainty quantification problems for partial differential equations, and multiscale partial differential equations. He/she will develop