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Looking For Master’s or PhD degree in Electrical Engineering, Communication Engineering, Computer Science, or related field. Proven track record of research contributions in wireless communication
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of environmental factors of 60,000 subjects across multiple time points. Our research laboratory has great computing capacity, including multiple H100 and A100 GPU systems for deep learning, and computing clusters
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Oden Institute for Computational Engineering and Sciences | Austin, Texas | United States | 2 months ago
development, including grant writing and academic presentation. Have access to the largest academic computing cluster in the world, including the largest GPU cluster. Application Materials Applicants should
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experience with probabilistic or computational modelling. Experience with language model evaluation, cognitive modelling, reinforcement learning, goal-directed behaviour, learning theory or large-scale GPU
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computational tools. Contribute to the definition of system specifications, experimental protocols, validation metrics, and milestone tracking across the project work packages. Prepare technical reports, journal
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expertise in optimisation; Computer Science, with expertise in design and analysis of algorithms and high-performance (GPU) computing; Industrial and Systems Engineering, with AI in process mapping and Conops
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compensation and working conditions. Basic Qualifications Ph.D. or M.D./Ph.D. in areas such as machine learning, computer science or closely related field. Excellent programming skills and practical experience
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Details Title Postdoctoral Fellowship in Electrical and Computer Engineering School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Computer Science Position
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computational resources (with GPUs) A collaborative environment across research fields, including plant biology, quantitative genetics, and population genetics Opportunities for collaboration and research visits
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will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and