88 parallel-processing-bioinformatics Fellowship research jobs at National University of Singapore in Singapore
Sort by
Refine Your Search
-
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
-
research. Qualifications The selection process will be on a rolling basis until the position is filled. Start date is flexible but the successful candidate should ideally commence no later than 15 November
-
, Yong Loo Lin School of Medicine at the National University of Singapore (NUS) is seeking a motivated and experienced Research Fellow (RF) or Research Associate (RAssoc) to join our dynamic team in
-
change without prior notice. Application Process Please submit the following documents in one (combined) PDF and attach it under the CV column in the system: Curriculum Vitae (maximum of 3 single-spaced
-
required to give seminar(s). You are also required to acknowledge ARI in all your publications resulting from the period you are at the Institute. Application Process Please submit all documents in one
-
) The Centre 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
-
including key components such as cell configurations, flow channels, electrodes, membranes, and catalysts for HER and other electrochemical processes. • Conduct CFD and electrochemical simulations
-
/experimentation. • Design and develop an intelligent and optimal switching strategies, control techniques, and energy management system (EMS) for the energy efficient and reliable operation. • Perform HIL
-
research papers, coordinating grant application processes and management of proposals. • Perform other related duties incidental to the work described herein, including contributing to occasional
-
areas: Time-series analytics or forecasting Natural language processing (especially question answering or language grounding) Multimodal learning (e.g., combining text with temporal or numerical data