337 parallel-computing-numerical-methods-"Simons-Foundation" Fellowship positions in Singapore
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                The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational 
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                . • Work with research partners from various governmental sectors to understand their requirements. • Uncover efficient methods to work with point cloud data derived from various forms LiDAR scanners 
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                -analysis, qualitative synthesis methods) Science Communication and Writing Behavioural or Social Sciences applied to child health/development Public Health or Epidemiology related to child and health and 
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                delivery system and methodologies for characterising nanostructures and their in vitro and in vivo behavior related to antimicrobial resistance. We are looking for a postdoctoral fellow to develop methods 
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                research, quantum technologies, artificial intelligence, advanced communications and cybersecurity capabilities. The work will be in joint collaboration with the NRF CREATE programme Singapore Aquaculture 
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                Job Description Job Alerts Link Apply now Job Title: Research Fellow (OR/EID/OEE) Posting Start Date: 17/07/2025 Job Description: Job Description The Signature Research Programme in Emerging 
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                half of them published in prestigious journals (Chem. Eng., Appl. Energy, Energy Convers. Manag., Renew. Sustain. Energy Rev.). His contributions have earned his numerous fellowships and awards 
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                microscopy methods, quantitative bioimage analysis, and biophysical methods to probe the mechanisms that organize collective cell dynamics at the tissue scale. While the group has worked extensively with 
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                dedicated to technology such as state-of-the-art light microscopy, nano- and micro- fabrication, and computing. We are seeking a Research Fellow with expertise in transmission electron microscopy (TEM 
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                environmental design, human well-being, and quantitative assessment methods. Experience with landscape visualisations, data analysis, computational modelling, information modelling, or human-centred research