229 developer-"https:" "https:" "https:" "UCL" Fellowship research jobs at Nanyang Technological University
Sort by
Refine Your Search
-
immune function in vivo . Work closely with the PI, Co-PIs and collaborators, document results, write reports, develop research proposals, and prepare manuscripts for scientific publications. Assist in
-
will be responsible for developing innovative solutions in the encapsulation of active agents such as prebiotics and probiotics in fish feeds for juvenile fish, to help optimize nutrition, immunity
-
Responsibilities: Design and implement advanced AI/ML models for healthcare applications, including predictive analytics and generative AI solutions. Develop and validate digital phenotyping algorithms using
-
developing their own independent research projects. The ideal candidate will have a PhD in philosophy or physics, a strong research track record, a concrete proposal for a research project related to
-
international conferences and journals. Collaborate closely with faculty members at CCTF to shape research directions, develop grant proposals, and translate research outcomes into impactful applications. Mentor
-
will play a key role in supporting both Professor Chambers’ and the team, mainly in, but not limited to, the following roles: Developing and implementing pipelines for quality control and analysis
-
on carrying out research according to the proposed milestones. Key Responsibilities: The Research Fellow (RF) will work on a project to conduct the research on development of Self-Healing Ductile Cementitious
-
optimise its role in maximizing fusion performance Analyse the linear and nonlinear dynamics of key micro-instabilities to identify the fundamental physical mechanisms governing turbulent transport Develop
-
safer, more efficient, and sustainable mixed-traffic future. Key Responsibilities: Design and conduct driving simulation experiments for risk scenario analysis. Develop deep learning models, such as GNNs
-
of scalable machine learning systems using convex/nonconvex optimization and federated learning methods. Develop software prototypes for AI-for-Science systems tailored to scientific discovery and data