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PID2024-155476OB-I00 (internal code J-03493), funded by the State Research Agency. Fuctions to be developed: Expand and improve GPU evaluation tools. Characterize existing GPU architectures in terms
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. · Knowledge in servers with GPUs, and development of Artificial Intelligence applications. · Solid understanding of Pattern Recognition, Machine Learning, and Deep Learning with applications to health issues
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). The applicant’s experience must be related to the tasks to be conducted, to the job description herein or to: · Training of multimodal models based on deep learning and GPU computing. · Evaluation and deployment
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evaluating them with clear performance criteria. Familiarity with real-time systems, embedded computing or GPU optimisation. Strong problem-solving and analytical skills. Fluent English, both written and
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: ED431F 2023/40 Project Title: Searching for Physics Beyond the Standard Model at LHCb Using Neural Networks and GPUs Funding Period: Start: 1 January 2023 End: 31 December 2027 Principal Investigator's
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to communicate and collaborate effectively in an international and interdisciplinary research environment. Desirable skills Experience in high-performance computing, including parallel programming and/or GPU-based