213 developer-"https:"-"https:"-"https:"-"UCL"-"UCL" Fellowship positions in Singapore
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of scientific findings. He/she will be accountable to the Principal Investigator (PI). The RF / RA will be able to: Conduct quantitative data analysis using SPSS / STATA / R; Lead the development of research
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studies to improve the understanding of fire and thermal runaway hazards associated with lithium-ion batteries and next-generation energy storage systems. The responsibility includes • Develop
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, and publishing research articles in alignment with the grant objectives Coordinate with external collaborators on project development Document, collate, analyse and interpret data Carry out procurement
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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
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partners on data exchange, joint analysis, and model validation across Southeast Asia. Contribute to the development of regional seismic hazard maps and risk assessment frameworks. Publish research findings
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of faculty, students and alumni who are shaping the future of AI, Data Science and Computing. We are seeking to hire a Research Fellow to support research and development in Generative AI, Statistical machine
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, stability). Engineer antibodies for enhanced function (Fc modifications, bispecific formats, humanization). Evaluate therapeutic efficacy in cell-based assays and murine tumor models. Develop the workflow
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research program aimed at developing a better understanding of how aging beliefs and mortality expectations may influence economic decision-making among individuals and households. The Principal Investigator
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audiences. Mentor and collaborate with students and interdisciplinary team members, and build partnerships with external stakeholders such as community organizations or industry. Support lab development
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. The initial areas of research focus relate to precision cancer prevention including the development and validation of risk prediction models; and clinical implementation research of targeted screening and