221 structures-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" Fellowship positions in Singapore
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energy deposition technology and accelerating its practical adoption in construction and beyond. The Research Fellow is expected to: • Assist the design and lead the commissioning and operation of
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Theory (DFT) calculations using established codes (e.g., VASP, FHI-aims). Demonstrated experience with traditional methods for modeling atomic site disorder, such as special quasi-random structures (SQS
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fabrication of novel knitted structures embedded with energy-harvesting yarns. You will be expected to: Apply fundamental understanding of material–structure–function relationships in knitted fabrics Overcome
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Vo Dat Nguyen Host School : CCEB Email: datnguyen.vo@ntu.edu.sg Google Scholar: https://scholar.google.com/citations?user=6DpchCQAAAAJ&hl=en Dr. Nguyen’s research interests encompass mathematical
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of empathy in shaping health outcomes; access to healthcare; the implications of concepts such as the ‘medical gaze’ and ‘epistemic authority’; the social construction of health; the narrative ethics
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Electronic, Optical Engineering or related field from a reputable University Expertise in application of AI Experience in condition monitoring or structural health monitoring Good publication track record
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research in areas such biomedical, construction, aerospace, marine and offshore. It is one of the very few research centres globally with multi-sector 3D printing expertise. SC3DP’s research achievements
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Demonstrated expertise in small-molecule synthesis, optimization, and structure–activity relationship (SAR) studies Strong problem-solving skills and the ability to work independently within a collaborative
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on emerging structure-activity relationships, optimizing compounds so as to advance lead series for proximity inducing modalities (PIM). Solve complex synthesis problems using state-of-the-art methodology
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, including protein structural analysis Job Requirements: PhD in Biological Sciences, Bioinformatics, Computational Biology, or related fields Prior research experience in machine learning or systems biology is