359 computer-programmer-"https:"-"https:"-"https:"-"KTH" Fellowship positions in Singapore
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• Conduct research on the design, fabrication, and characterization of advanced composite materials for additive manufacturing. • Develop, optimize, and evaluate material formulations and 3D printing processes for high-performance composite structures. • ...
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Description The Research Fellow will work closely with the Principal Investigator, Dr. ZHENG Chu, on the research project of enzyme biophysics and computational design for applications in sustainable
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computational aspects of this project, conducting large-scale searches and benchmarking studies to characterize the best achievable performance of SR methods. This work contributes to explainable AI (XAI), AI
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Established in 2010, the Energy Research Institute @ NTU (ERI@N) is a pan-university research institute that focuses on systems-level research for tropical megacities. It performs translational research that covers the energy value chain from generation to innovative end-use solutions, motivated...
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The Research Fellow will lead the development of advanced co-culture tumour models that integrate cancer-associated fibroblast (CAF) heterogeneity, cancer cells, and immune cells using biomaterials and microfluidic platforms. He/ She will also oversee and mentor graduate and undergraduate...
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. The staff will need to develop a well-justified approach to achieve a goal once a problem statement and/or a research scope are defined by the PI and the staff. The staff will need to execute the plan
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in AI and diverse STEM disciplines, with access to cutting-edge computing resources and strong institutional support for high-impact research. The NTU AI4X-PDF is more than a fellowship—it is a
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materials synthesis, characterisation, and device fabrication. • Familiarity with computational modelling or data-driven analysis is advantageous. • Ability to work independently as
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The Research Fellow (RF) will conduct research in the field of coastal dynamics, with a focus on the development and application of machine-learning-enhanced coastal models. The project aims to advance nearshore hydrodynamic modelling by integrating data-driven and physics-based approaches for...
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statistical methods, computational models and/ or machine learning algorithms to analyse environmental and infectious disease data; - Collaborate with multidisciplinary and international teams of researchers