305 machine-learning "https:" "https:" "https:" "UCL" Fellowship positions in Singapore
Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
work in strategic directions that are of significant impact to industry, science and technology. For more details, please view https://www.ntu.edu.sg/cee . We are looking for a Research Fellow to work
-
, please view https://www.ntu.edu.sg/newri . The Nanyang Environment and Water Research Institute (NEWRI) invites applications for the position of Research Fellow. Key Responsibilities: The candidate will be
-
on radionuclide imaging and therapy of cancer (radiotheranostics), multi-modal molecular imaging and nanotheranostics (various forms of nanoformulas). More information on the research work is available at https
-
deployment enabling validation and demonstration of real-world applications. For more details, please view https://www.ntu.edu.sg/erian This joint research project is between Nanyang Technological University
-
scientific leaders and researchers. Job responsibilities The project aims to advance the use of machine learning techniques to model and understand plasma turbulence in magnetically confined fusion plasmas
-
of international law. CIL's vision is to become a regional intellectual hub and thought leader for research and teaching in international law. Further information about CIL is available at https://cil.nus.edu.sg
-
aims to improve electrodialysis (ED) for REE separation by developing advanced membranes and integrating AI-driven optimization techniques. By combining materials innovation with machine learning
-
modeling. For more details, please view https://www.ntu.edu.sg/cee . We are seeking a Research Fellow to contribute to cutting-edge research in multiscale clay science and geotechnical engineering. The
-
enrichment (GO, KEGG), network analysis, genome assembly and binning, systems biology, and multi-omics integration. Apply statistical modelling, machine learning, and deep learning approaches for biomarker
-
: Electrochemical process on interface phenomena Battery testing under different conditions Simulation of scaled up process. Interface with machine learning group on data base set up Battery safety testing Presenting