107 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "https:" "https:" "P" Fellowship positions at National University of Singapore
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record in an accredited PhD program in social psychology, marketing (consumer behavior track), or any related fields. More Information Location: Kent Ridge Campus Organization: Global Asia Institute
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Water and Sanitation in low- and middle-income settings across Southeast Asia. This position offers a unique opportunity to contribute to field-based public health research and program evaluation, while
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to pursue an academic career, as the programme is specifically designed to support such aspirations. Preference will be accorded to candidates aspiring to pursue an academic career, as the programme is
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supervision of Asst Prof Meng Xin from the Department of Civil and Environmental Engineering. This position is part of an exciting research programme aimed at advancing the multi-robotic wire-arc directed
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research program to develop next-generation sensor devices and systems for human-machine interactions. Qualifications PhD in Materials Sciences, Robotics, Mechanical Engineering, or related disciplines. More
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Measures using advanced psychometric methods and publication and dissemination; Establishing an independent research programme derived from the current project; Providing support for other collaborative
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one programming language, such as Python or R • Experience with mathematical or statistical modelling • Excellent written and verbal communication skills • Highly organised, with the ability to work
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bioinformatics analysis for large-scale spatial and single-cell omics as well as next generation sequencing studies. Assist researchers in programming and data analysis. Perform analysis of complex and large-scale
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translational research program focused on developing AI-based models to predict cognitive decline. This role offers the opportunity to collaborate with clinicians, data scientists, and the broader research
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materials using DFT (VASP) and molecular dynamics with machine learning force fields is desired. • Experience and skills in scientific programming (e.g. Python or C/C++) and data analysis, including