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Field
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IoT systems and architectures for use in and around ports, from the nearby industries in the hinterland to the offshore windfarms, energy islands, and more. This includes possibilities to do research
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libraries for modern architectures (e.g., GPUs). Exploration of linear algebra methods in computational physics applications and machine learning. Integrate and benchmark the GINGKO library, a sparse solver
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-tolerant circuits, architectures, and systems ● Experience in radiation testing of electronic circuits Brief Description: We are seeking a highly motivated and enthusiastic Postdoctoral Associate to join
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for conditions such as otosclerosis. The position requires expertise in medical image analysis, proficiency with neural network architectures (particularly CNNs for segmentation tasks), and experience processing
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We are seeking a full-time Postdoctoral Research Associate in Machine Learning for Grid-Edge Flexibility to join the Power Systems Architecture Lab within the Department of Engineering Science
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research in neuro-symbolic AI, with a focus on using generative AI and prompt engineering as a method to engineer knowledge graphs one can trust. This includes the design of algorithms and architectures, but
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Bachelor’s or Master’s degree with relevant background and knowledge in civil engineering, mechanical engineering, architecture, computer engineering, or a related discipline. 2. Proficiency with 3D BIM
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experts across system software, power management infrastructure, performance characterization, networking, and novel computer architectures and accelerators. It will also involve collaboration with leading
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research in neuro-symbolic AI, with a focus on using generative AI and prompt engineering as a method to engineer knowledge graphs one can trust. This includes the design of algorithms and architectures, but
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learning methods. Develop deep learning architectures (e.g., variational autoencoders, graph neural networks, transformers) for cross-omics data representation and feature extraction. Apply multi-view