Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
code. • Open to Fixed Term Contract. More Information Location: Kent Ridge Campus Organization: College of Design and Engineering Department : Electrical and Computer Engineering Employee Referral
-
engineering strategies to enhance production yields of target chemicals. Conduct lab-scale fermentation, analytics, and process optimization. Publish research findings in high-impact journals and present
-
for Quantum Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices based on quantum phenomena. Experts in
-
for Quantum Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices based on quantum phenomena. Experts in
-
plasma process equipment. Characterize the influence of magnetic field on plasma flow. Conducts various design experiments to refine processes. Optimize vacuum coating processes, and leading R&D efforts in
-
and materials processing methods for solid cooling devices. The candidate will play a crucial role in solid state chemistry synthesis, vacuum sealing, processing, characterization, property evaluation
-
year for every year of sponsorship. Application Process Applications are open throughout the year. Applications received before 15 January 2026 will be considered for the 2026 intake. Interview by
-
and development in the chemical conversion and valorization of hazardous waste streams, focusing on complex, reactive materials. Involves process design, optimization, and scale-up, including reaction
-
the environmental performance of established and emerging processes. This role includes designing and conducting cradle-to-gate and cradle-to-grave LCAs, building life cycle inventory (LCI) datasets, and integrating
-
outputs across Projects 3-1 and 3-2 Manage and process large sets of operational data for case study analysis Contribute expertise in power grid optimisation to enhance planning models Participate in