1,537 parallel-computing-numerical-methods-"Simons-Foundation" positions in Singapore
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to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and applied physics, including quantum information, condensed matter physics, biophysics, and
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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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. Perform high-throughput computation for accelerating materials discovery and generate datasets for materials informatics. Work with teams to refine the developed methods and workflows. Job Requirements: PhD
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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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particular focus on AI (including foundational methods in AI, embodied AI/robotics, and AI for science), security (including secure and trustworthy AI) systems (including ML systems), and quantum computing
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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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footprint. Its holistic approach will help to secure a brighter, more sustainable future for humanity. ANGEL is seeking a highly motivated Research Scientist in the area of green computing, with a focus on
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for simulating two-phase flows by integrating advanced Artificial Intelligence (AI) techniques with traditional computational fluid dynamics (CFD) methods. The role focuses on transitioning legacy CFD solvers
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Responsibilities: Conduct individual research within the designed project: process data, develop research methods, build and evaluate computer vision and machine learning algorithms empirically. Author research
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parallel clusters Integrate existing physical models into new software infrastructure for EOS research Benchmark against existing methods and support reproducible, open-science practices Collaborate closely