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structured and unstructured datasets, and GPU-accelerated computing. Proven experience with Large Language Models. Required Skill/Ability 3: Sound background in theoretical and applied machine learning/deep
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quantitative genetics, machine learning, bioinformatics, and population genetics, and their applications in an agricultural setting A modern dedicated computational infrastructure (CPUs & GPUs) Well-developed in
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inference Develop distributed model training and inference architectures leveraging GPU-based compute resources Implement server-less and containerized solutions using Docker, Kubernetes, and cloud-native
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development (e.g., PyQt, Tkinter) CUDA for GPU acceleration Scientific computing libraries such as NumPy and SciPy A keen interest in scientific computing, atmospheric sciences, or advanced instrumentation is
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, such as aircraft tugs, ground power unit (GPU), lavatory service cart, de-icing cart, forklift, golf cart, UTV, and airport shuttles and vehicles. Renders grounds maintenance, such as mowing, cutting trees
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of unparalleled computing resources in the academic environment by optimizing AI/ML models including scaling models across a large set of GPUs; building or optimizing LLMs to tackle new, complex tasks; developing
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using GPU/CUDA clusters for AI/ML and/or image processing. Proven ability to work in a dynamic environment and support large data systems. Effective documentation skills, including ability to prepare
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medicine and drug discovery. The King's AI+ strategic investment recruiting 20 AI focused fellows and adding £2m of next-generation GPU capacity to King's Computational Research Engineering and Technology
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reactions. Development and deployment of graphical user interfaces (web apps, desktop apps) Parallel computing (GPU & CPU). Familiarity with cloud platforms (AWS, Azure, or GCP), Docker, Kubernetes
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division, several GPU-based clusters at NYUAD, and other supercomputer facilities through the CASS network. NYUAD also has guaranteed observing time on the Green Bank Telescope, the Very Long Baseline Array