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applications. Develop and optimize electrode materials and architectures, including synthesis and/or surface modification, to improve electrode selectivity and stability. Collaborate with internal and external
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: Design and implement AI/ML pipelines for multi-omics data integration, including supervised and unsupervised learning methods. Develop deep learning architectures (e.g., variational autoencoders, graph
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algebra methods targeting large-scale HPC systems. Optimization of linear algebra libraries for modern architectures (e.g., GPUs). Exploration of linear algebra methods in computational physics applications
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architecture and electric mobility systems. Where to apply Website https://www.timeshighereducation.com/unijobs/listing/397594/gti-postdoctoral-re… Requirements Additional Information STATUS: EXPIRED X (formerly
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: Investigation of current trends in parallel architectures, focusing on programmability as well as the characterization and modeling of their general-purpose capabilities; Investigation of AI hardware trends, with
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; 5)Contributing to the co and extra-curricular activities of Keller. - Applicants must hold or expect to have a doctoral degree in civil, structural, architectural or mechanical engineering, physics
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management Cognitive radio or adaptive communication systems, including dynamic spectrum access, band selection Heterogeneous network architectures, including terrestrial and non-terrestrial networks Deep
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Computational Sciences Directorate (CCSD) at Oak Ridge National Laboratory (ORNL) is seeking a Postdoctoral Research Associate who will support the areas of multimodal imaging, AI architecture, and efficient
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. Our empirical research focuses on corporate headquarters and museums. One of our current case studies is the upcoming Museum of Architecture and Design in Helsinki, which aims to “redesign the world
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University of Maryland, Baltimore County | Southern Md Facility, Maryland | United States | 1 day ago
-tolerant quantum computers that can handle applications at realistic scales. To date, several architectures for quantum hardware have been developed that all have their strengths and weaknesses. For instance