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maintaining computational tools for biological data analysis. Proficiency in programming, experience with high-performance computing and GPU acceleration tools (e.g. CUDA), and deep learning frameworks such as
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will have access to a 70,000-core Infiniband Cluster (Jubail) dedicated to the science division, several GPU-based clusters at NYUAD, and other supercomputer facilities through the CASS network. NYUAD
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the most recent computational technology, including the Dragen FPGA, as well as a GPU accelerated compute nodes. The postdoc project Hematological malignancies remain a significant cause of morbidity and
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(and other thin shear) flows in particular, as well as on turbulence in general is highly beneficial Experience and proficiency with big data handling, parallel processing, GPUs (e.g. CODA) and analysis
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training NLP/deep learning models on GPUs (with framework such as PyTorch, tensorflow) Demonstrated experience with NLP state-of-the-art models (Deepseek, Llama, Mistral, GPT-4, BERT etc) Demonstrated
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. The position is to commence in April 2025. It is a fixed-term post for 12 months. The project involves mainly computational work to exploit GPUs using directive-based accelerator offloading in the CASTEP code
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datasets generated by the Phenomobile.v2+ to identify key traits affecting crop performance under stress conditions. Implementing a multimodal approach for large-scale data analysis using CPU and GPU
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as an exhaustive list of all responsibilities, duties and skills required of personnel so classified. Summary: The Goodwill Computing Lab seeks a Postdoctoral Research Associate. The Goodwill Computer
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beneficial Experience and proficiency with big data handling, parallel processing, GPUs (e.g. CODA) and analysis of extensive datasets is advantageous Experience with DaVis software and methods such as Shake
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, other GPU-based systems, as well as specialized AI hardware from vendors such as Cerebras, SambaNova, Graphcore, Intel Habana, and Groq. These positions are available immediately, but there is flexibility