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internals, memory hierarchy, and parallel computing. Performance Tuning: Experience with profiling tools, debugging, and optimization techniques. Domain Tools: Familiarity with graphics APIs (OpenGL) or ML
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programming proficiency in Python and C/C++. Expertise in ensemble learning (e.g., Random Forests, Gradient Boosting, bagging/stacking frameworks). Hands-on experience with parallel or GPU-based computing (CUDA
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preferably) Strong skills in turbulence modelling, CFD mesh generation and use of parallel computing Have relevant experience in working with aerosols and droplets Proficient in handling large data sets and
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) who will develop computational electromagnetics codes for rapid characterization of the fields scattered from artificial metasurfaces. Key Responsibilities: The key responsibilities of the Research
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Description We are seeking a Research Analyst to support the design, delivery, and evaluation of international partnership programs within AIDF’s Credit Research Initiative (CRI) team. This role blends program
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-motivation skills Strong foundation in CFD with proficiency in Python and AI/ML techniques, and additional experience in parallel computing tools such as CUDA and MPI Experienced with CFD simulation tools (e.g
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Ability to code in a programming language to solve computational problems Awareness of computational infrastructure and its upkeep Ability to work on multiple projects in parallel and set priorities
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on Phase Field modelling and High-Performance Computing (HPC) for geophysical applications. The Asian School of the Environment (ASE) at Nanyang Technological University is an interdisciplinary school
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Description We are seeking a Research Analyst to support the design, delivery, and evaluation of international partnership programs within AIDF’s Credit Research Initiative (CRI) team. This role blends program
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of infectious diseases. • Experience with data analysis using statistical inference techniques. • Experience with health economic evaluations. • Experience with parallel and/or high-performance computing