408 data "https:" "https:" "https:" "https:" "I.E" "UCL" "UCL" Fellowship positions in Singapore
Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
be possible. Qualifications PHD in Computer Science/Quantum Information with a strong record of publications and a few years of post-doctoral experience. More Information Location: Kent Ridge Campus
-
-throughput synthesis, automation, and data-driven approaches. Key Responsibilities: Design and execute high-throughput synthesis workflows for solid-state materials, including intermetallics, chalcogenides
-
Employee Category: Research Staff Location_ONB: Outram Campus Posting Start Date: 11/03/2026 Job Description The Duke-NUS Centre for Biomedical Data Science (CBDS) serves as a central hub for Duke-NUS
-
environments. • Experience in at least two of: phylodynamics / genomic epidemiology, deep learning for sequence or tabular data, reinforcement learning, spatial modelling, or real-time nowcasting. • Demonstrated
-
AI/ML models for predicting materials properties using data-driven approaches, including the treatment of disordered inorganic materials. Develop codes as necessary to assist existing and new code
-
: Electrical and Computer Engineering Employee Category: Research Staff Location: Kent Ridge Campus Posted On: 13/02/2026 ▲ Collapse Job Title: Research Fellow (Topolectrical Circuits and Non-Hermitian Physics
-
communication skills in English, with demonstrated experience in scientific writing - essential for data analysis and communication with stakeholders At least one first-author publication in an internationally
-
for a Senior Bioinformatician to support and lead advanced research with clinical and translational impact, driving the generation of high-quality data and analyses that underpin high-impact publications
-
looking for a bioinformatician or data scientist to contribute towards a multi-omics integration effort of transcriptomics, metagenomics, proteomics, and metabolomics data in a new project investigating
-
investigators. Contribute to study design, data collection, analysis, and interpretation for translational pathology projects (e.g., NGS, IHC, spatial assays, image analysis). Design and perform wet laboratory