393 structural-engineering "https:" "https:" "https:" "https:" "https:" "https:" "Multiple" "U.S" Fellowship research jobs in Singapore
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, Biomedical Engineering or relevant disciplines Those with no experience are welcomed to apply Solid publication record and strong scientific writing skills Prior experience is highly preferred Animal handling
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science, environmental engineering, and public health to tackle the region’s most pressing climate–health challenges through cutting-edge research, advanced modelling, and interdisciplinary collaboration
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Asian and South-East Asian region (ideally LMICs) and proven record of working with multinational teams. Demonstrated ability to manage multiple projects efficiently. Prior experience in research and
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, contributing to cutting-edge research at the intersection of engineering, healthcare, and smart textiles. We seek candidates from engineering backgrounds who has experiences in healthcare device design
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an emphasis on technology, data science and the humanities. We are looking for a Research Fellow in the Bio-Data Science and Education Laboratory to work on AI in mental health. The role will focus
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pathogenesis, tissue regeneration, and function. We seek to recruit a Postdoctoral Research Fellow to work on a collaborative project between Dr Yin Loon Lee, MBI co-PI, at the Agency for Science, Technology and
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an emphasis on technology, data science and the humanities. We are seeking Research Fellow to join the Neuroscience and AI Research (Nair) group, led by Nanyang Assistant Professor Aditya Nair, to study how
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and experience are encouraged to apply: Minimum of five (5) years of project/programme management experience with the ability to juggle and complete multiple projects with diverse stakeholders
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). This role offers an exceptional opportunity to operate within a dynamic team employing cutting-edge human induced pluripotent stem cell (iPSC) technology to investigate the genetic and molecular underpinnings
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technical and financial risk domains. Design, implement, and validate the LLM Risk Quantification and Insurance Support Engine, including model formulation, data analysis, and simulation of LLM risk scenarios