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and conferences. To conduct this work, the successful candidate will use the world's first exascale system, Frontier, and collaborate with leading experts in machine learning, optimization, electric
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University of California, Los Angeles | Los Angeles, California | United States | about 18 hours ago
successful candidate will develop and apply computational, statistical, and machine-learning approaches to investigate human immune responses, host genetics, infectious disease, and vaccine immunity. The
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Machine Learning for Multimode Mechanics Apply for this job See advertisement About the position A three-year position as Postdoctoral Research Fellow inQuantum Machine Learning for Multimode Mechanics
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Qualifications Experience applying machine-learning methods to weather forecasting, climate analysis, or spatial data. Strong background in spatiotemporal modeling, probabilistic prediction, or time-series
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-image registration , high-performance computing, or GPU-based computation. Familiarity with machine-learning or deep-learning methods for medical-image segmentation. Previous experience in thermal
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Department of Computer Science and Engineering at The Ohio State University conducts interdisciplinary research in scalable software systems, artificial intelligence and machine learning (AI/ML), edge-to
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Biotech Research and Innovation Centre, The Lund Group, University of Copenhagen | Denmark | about 1 month ago
Strong foundation in bioinformatics and machine learning, including deep learning Experience training and running models on shared HPC clusters and remote GPU servers, including working in multi-user
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which you will be automatically redirected to an external site after 5 seconds) Save job Click to add the job to your shortlist Send job Job Details Are you interested in using machine learning to
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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 2 hours ago
+ nationalities) Qualifications Core Requirements PhD in Computer Vision, Medical Imaging, Applied Machine Learning, or a closely related field. Hands-on experience with generative models — diffusion (DDPM/LDM
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makes a machine measurable. You will own a system from CAD through fabrication to hardware that still runs six months later If your focus is learning, you will develop policies and perception that run