206 parallel-computing-numerical-methods Fellowship research jobs at Nanyang Technological University
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The NTU Centre in Computational Technologies for Finance (CCTF) is an inter-collegiate and pan-university initiative, managed by the Graduate College (GC), with support from College of Computing and
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, collaborations, and research translation activities. Job Requirements: Doctoral degree in Electronic Engineering, Computer Science, or a closely related field Strong research expertise in wireless communications
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Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a
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processes. Job Requirements: Essential Qualifications and Experience • PhD in Games Studies, Computer Science, Interactive Media, Digital Arts, Education, Psychology, Media Studies, or a closely related
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superlattices (twistronics). The role will focus on developing and applying theoretical models and computational quantum chemistry and machine learning methods to uncover novel properties and phenomena in low
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excellence of NTU and attracting interest of more industrial collaborators. Key Responsibilities: Develop a new and robust numerical model with lattice Boltzmann method to simulate flow and heat transfer with
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in at least one programming language for data science and numerical computing (e.g., Python, Fortran). We regret that only shortlisted candidates will be notified. Hiring Institution: NTU
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Fellow (RF) position to work on a new project as part of the Marine Climate Change Science (MCCS) Programme with the National Parks Board Singapore. This 4-year project hosted by EOS aims to quantify
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education. We are seeking a motivated and talented Research Fellow to join the laboratory of Assistant Professor Sho Suzuki and contribute to an exciting research program in the biophysical characterization
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between Sweden and Singapore, the project develops and evaluates teaching methods, such as 3D modelling and visualization, and produces a framework and toolkit for inclusive, spatially enriched