307 machine-learning "https:" "https:" "https:" "U.S" Fellowship positions in Singapore
Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
third largest university by intake in Singapore. SIT’s mission is to innovate with industry, through an integrated applied learning and research approach, so as to contribute to the economy and society
-
Materials, Bioinspired Materials and Sustainable Materials. For more details, please view https://www.ntu.edu.sg/mse/research . We are looking for a Research Fellow to work closely with NTU MSE and A*STAR
-
work Shortlisted candidates will be asked at a later time to arrange for their referees to send letters of recommendation. Information about working in NUS and living in Singapore is available at http
-
position within a Research Infrastructure? No Offer Description As a University of Applied Learning, the Singapore Institute of Technology (SIT) works closely with industry in its research pursuits
-
. Learn more about our lab at https://www.richardshelab.com/ . Key Responsibilities: Design and lead a novel research project aligned with your scientific interests and the lab’s experimental strengths
-
position within a Research Infrastructure? No Offer Description As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity
-
A Postdoctoral Fellow position is available in Prof. Tong Ling’s Lab (https://www.tonglinglab.com ) at Nanyang Technological University, Singapore. The successful candidate will work with our
-
, please view https://www.ntu.edu.sg/newri . We are looking for a Research Fellow to support the research project on “Novel High Performance Piezoelectric Thin Film Composite (TFC) Nanofiltration/Reverse
-
Job related to staff position within a Research Infrastructure? No Offer Description As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff
-
modelling and machine learning for large and complex datasets. Have proficiency in Python and/or R for time-series and sensor data analysis. Have an interest in or experience in environmental exposure