193 parallel-computing Fellowship positions at Nanyang Technological University in Singapore
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implementation of a coupled Computational Fluid Dynamics (CFD) and fire dynamics model within the OpenFOAM framework. This model will simulate battery thermal runaway and subsequent fire propagation. The
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Humanities, Arts & Social Sciences Digital capitalism and its impact on society and culture Use of computational, digital, and AI tools Digital and AI-driven creativity, cultural production, and conservation
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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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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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, 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
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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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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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Fortran/C/C++ and high-performance computing Good knowledge in fluid mechanics, heat and mass transfer as well as surface phenomena. With good record in publishing research papers. Preferably with expertise
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, or district energy systems. Experience with system optimisation and techno-economic analysis of energy systems. Proficiency in scientific computing environments such as Python, MATLAB, Julia, or Modelica
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. Computational Protein Design: Experience with generative models (e.g., AlphaFold, RFdiffusion, ProteinMPNN) for designing novel condensate drivers or sensors. Collaborative and interdisciplinary research