192 web-programmer-developer-"https:"-"https:" research jobs at Nanyang Technological University
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Responsibilities: Responsible for conducting research, mentoring graduate and undergraduate students, and reviewing and publishing papers. Brainstorming research ideas, formulating problems, developing methods, and
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Responsibilities: Conduct programming and software development for graph data management. Design and implement machine learning models for optimizing graph data management. Conduct experiments and evaluations
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to Clinic & Pedagogy, Empowering Practitioners : Developing precision assessment and intervention tools to optimise parent-child social and mental health within clinical, education and community settings; 3
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postdoctoral research fellow in the area of computational soft matter physics. The main research tasks include developing new numerical methods for simulating self-assembly of anisotropic colloids. The Research
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Hyundai-NTU-A*STAR Corp Lab serves to drive research development and industry adoption of 3D Printing technologies through collaborative projects with HMGICS, and with schools and research centres
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Hyundai-NTU-A*STAR Corp Lab serves to drive research development and industry adoption of additive manufacturing technology through collaborative projects with leading industry partners, and with
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Materials, Bioinspired Materials and Sustainable Materials. We are looking for a Research Fellow to work on the development of drug carriers for nucleic acid therapeutics, such as mRNA. The successful
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-temperature phosphorescence mechanisms in organic molecules. Conduct mechanistic studies on aggregation, photobleaching, and hydrogen bonding effects. Develop predictive computational frameworks linking
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Fellow (RF) with an interest in computational biology. The RF will work on a project aiming to understand how to predict the microbial community under environmental pressure and use the insights to develop
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Responsibilities: Research and develop novel ML-based methodologies and algorithms in LLM-empowered Sub-Graph Learning for Large Graph Models. Working closely with other Postdoc/RA/PhD students to discuss the ideas