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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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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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& 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
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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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. 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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/F) will work within the “RNA Architecture and Reactivity” unit and join the “Structure, Dynamics, and Targeting of Biomolecular Machines” team. This team currently consists of 6 researchers, 3
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solutions on modern HPC and GPU-accelerated systems. This role includes supporting climate and geophysical science applications, enabling large-scale AI training and inference workflows, and contributing
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technologies and systems. We currently lead a community-wide movement to mature the discipline of AI Engineering for Defense and National Security. As our government customers adopt AI and machine learning
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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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higher education credits (ECTS). Relevant courses include, for example, image processing, computer vision, machine learning, deep learning and neural networks, as well as courses in Python, GPU programming