360 algorithm-development-"Multiple"-"Prof"-"Prof"-"Simons-Foundation"-"U.S" Fellowship positions in Singapore
Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
development in data visualisation and analytics. Other responsibilities may include service roles. The anticipated start date for this position is July 1, 2025, prior to the commencement of the August 2025
-
team to develop/produce/investigate a web-based Ship Simulation and Optimisation Software Platform. Key Responsibilities Participate in and manage the research project with Principal Investigator (PI
-
that are relevant to industry demands while working on research projects in SIT. The primary responsibility of this role is to deliver on a research project where you will be part of the research team to develop
-
team to develop/produce/investigate extraction and fractionation of mung bean/rice/spent barley for improved functionality, generate process data for future life-cycle assessment and techno-economic
-
Key Responsibilities: We are looking for suitable candidates to develop power and propulsion technologies for drone applications. You shall be required to perform research into the different types
-
being developed to cope with the high count-rates and wide gamma-ray energy range (Eγ ~ 2 to 20 MeV) resulting from RE bremsstrahlung. The scintillation detector response function for gamma-rays and
-
these responsibilities in the project: i. Meet the milestone and deliverables in the project together with the PI, co-I in the team ii. Prepare ITQ for the procurement of equipment as well as consumables needed in
-
Key Responsibilities Work with the faculty and companies on energy assessment projects in industrial systems Co-develop and co-deliver training in energy efficiency in industrial systems to adult
-
these responsibilities in the project: i. Meet the milestone and deliverables in the project together with the PI, co-I in the team ii. Prepare ITQ for the procurement of equipment as well as consumables needed in
-
, leveraging renewable energy inputs. By utilizing deep neural networks (DNN), a surrogate model for the i3C process is developed, facilitating rapid evaluation and optimization. Additionally, a data-driven