208 data-"https:"-"https:"-"https:"-"https:"-"Dr"-"L2CM" Fellowship positions in Singapore
Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
of biosample and biobank inventory. Conduct accurate monitoring, documenting and reporting of experimental results and/or research findings. Assist researchers in programming, data analysis and literature review
-
the day-to-day coordination of the project, conducting data collection with children, and contributing to the development of machine learning and deep learning models for early prediction. The research
-
. Optimize synthetic routes and troubleshoot any challenges encountered during synthesis. Analyze experimental data, maintain meticulous records, and contribute to manuscript preparation for high-impact
-
. Requirements PhD in Education, Psychology, Child Development, Statistics, or a related field. Strong experience in quantitative data analysis, preferably in secondary data analysis of large-scale datasets and
-
(SingFarm)—a CREATE-NRF programme focused on building a sustainable, data-driven food production model with strong industry relevance to contribute Singapore’s ambition in achieving 20 per cent local
-
the mechanisms contributing to sporadic ALS progression, helping to pave the way for novel therapeutic strategies. They will collaborate closely with data scientists and experimental colleagues to ensure thorough
-
institutions and study sites, including communication with partners and tracking project progress and deliverables. To organize, manage, analyze, and report environmental and physiological data, and contribute
-
The Division of Banking & Finance at Nanyang Business School seeks a Research Fellow to support data-driven and AI-enabled research in investments and financial markets. The Research Fellow will be
-
5, with a particular emphasis on empirical analysis, AI-enabled data construction, and policy-relevant research outputs. Duties and Responsibilities: Design, develop, and execute empirical research
-
, modulation instability, and supercontinuum generation. Integrate experimental data with AI models, using machine learning to uncover hidden physics, accelerate simulations, and discover new operational regimes