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Field
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with the domain of optical material behavior acquisition at a decent pace. What you bring to the table Very good C++ programming skills GPU & Shader programming, ideally knowledge of PBR (Physically
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electromagnetic engineering problems. Programming experience in C/C++ and GPU is desired. Other qualifications being expected are as follows. Good analytical and problem-solving skills; Good analytical and
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, continuous integration and continuous delivery, software design, programming model, etc.). Conduct Annual Performance Reviews for direct report RSE staff. Supervise professional development of direct reports
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Domain-specific accelerators, e.g., GPUs, tensor cores, dynamic programming instructions (DPX) Software accelerators, e.g., DPDK, eBPF System security and Software Bill of Materials (SBOM) AI/ML
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part of the core PLI team, which includes top-tier faculty, research fellows, scientists, software engineers, postdocs, and graduate students. Fellows will have access to the AI Lab GPU cluster (300
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Shifting bits: Adaptive numerical precision for GPU software in particle physics and beyond (S3.5-COM-Richmond) School of Computer Science PhD Research Project Competition Funded Students Worldwide
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the ability to independently drive projects from concept to completion. Bonus Qualifications: Experience with Gaussian Splatting. Familiarity with CUDA, compute shaders, or other GPU programming
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) Country Singapore Application Deadline 27 Dec 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is
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the necessary algorithms. You will also develop and document a graphical user interface which handles large processing tasks efficiently and uses multiprocessing and GPU acceleration where necessary. At the same
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variants, EfficientNet, ResNet, U-Net) Image processing and computer vision techniques Python programming and relevant libraries (e.g., OpenCV, NumPy, scikit-learn, Pandas, Matplotlib) Experience with