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Field
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Evidence of research achievement at the very highest international level, including a strong record of publications in top-tier venues in AI/machine learning and evidence of significant influence
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: The successful candidate will have a PhD (awarded or expected within 6 months) in Computer Science, AI, Machine Learning, Computational Biology, Mathematics, Statistics, Physics, Engineering, or a related
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a related discipline A minimum of 4 years of applied experience Hands-on experience with training machine learning models on high performance computing infrastructures leveraging GPU accelerators
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/access management, network configuration, storage integration, service management, and lifecycle support for physical servers, virtual machines, workstations, and/or storage platforms across one or more
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. Knowledge of data analysis, optimization, and machine learning techniques is a plus. Knowledge of machine learning libraries (e.g., PyTorch or TensorFlow), SDR hardware (e.g., USRP) and software (e.g
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networking. The College also has a broad range of expertise within the AI and Machine Learning community and BOLD Fellows will have access to a wide range of opportunities (e.g. dining facilities, social
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Intelligence/Machine Learning initiatives across Cornell Bowers, Cornell Duffield Engineering, and Cornell Tech. Working in close partnership with the Senior IT Director of TBE IT, this role owns the roadmap
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a new computational paradigm that combines the versatility of the digital computer with the efficiency of close-to-physics computing. The group targets the full computational stack, from materials
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experiences on computer vision • Strong programming skills in using Deep Learning tools like PyTorch and GPU clusters. • Good written and verbal communications. • Open to Fixed Term Contract
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& Security, Big Science, Biotechnology and Fintech. Main function and scope: We are looking for Senior Computer Vision Engineers / Researchers with proven experience in advanced perception algorithm