50 structures-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" Fellowship positions at National University of Singapore
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insights from cutting-edge clinical and translational research. More information on the Department’s research portfolio may be obtained from https://medicine.nus.edu.sg/obgyn/. The Core Support Faculty will
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contaminants. He/she is required to perform the followings: • Lead experimental research on thin-film composite (TFC) membranes, with emphasis on polyamide interfacial polymerization control, nanoscale structure
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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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Network Analysis/ Structural Equation Modelling (SEM)/Multilevel Modelling (MLM) • Willingness to conduct fieldwork in rural or low-resource settings (required travel for up to 1 week 2-3 times a year
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management structures, workflow documentation, SOPs, and digital tools that enhance programme quality and coordination Research translation and impact Contribute to academic publications, technical reports
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academic departments come under a common governing structure. NUHS was incorporated on 23 January 2008 to integrate education, research and clinical care. Purpose of the post Our lab is focused on immuno
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frameworks to analyze structure, unstructured and non-traditional data related to corporate financial, environmental, and social indicators. There are no teaching obligations for this position, and the
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or hybrid microrobotic systems. Fabrication and micro-/nano-structuring of functional materials relevant to microrobotic actuation. Conducting experiments to characterize robot locomotion, propulsion
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conceptualisation, modelling, and prototyping of flexible joint mechanisms, wheel assemblies, and repair/re-lining modules. Conduct structural, dynamic, and kinematic analyses to optimise robustness
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and the associated vulnerability patterns in aging and neuropsychiatric disorders using multimodal neuroimaging and machine learning methods. We are interested in the large-scale brain structural and