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industry. You will have the opportunity to interface directly with program sponsors and lead proposal development teams. Major Duties/Responsibilities: Developing advanced modeling and optimization methods
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high-fidelity qubit control and further ingredients for a shuttling-based architecture, using devices from academic or industrial fabrication. Key activities can include: Demonstration and experimental
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on reliability, security, and resilience of microgrid systems. This includes advanced control system design, modeling and analysis, control architecture design and communication-based control and optimization
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computer science knowledge. Preferred Knowledge, Skills, and Abilities: Practical experience developing novel AI/ML algorithms and models. Knowledge about hardware architectures, compilers, neural network
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cutting-edge multi-omics at bulk, single-cell and spatial scales with computational analyses to investigate transcriptome, epigenome and chromatin architecture. Combine multi-omics with flow cytometry and
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in human stem cells, and quantitative fluorescence microscopy. Our projects aim to elucidate the emergent architectures and modes of force production of cytoskeletal networks and their adaptation
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Posting Details Position Information Fiscal Year 2024-2025 Position Title Postdoctoral Associate (PRODiG+ Scholar), Computer Science Classification Title Postdoctoral Associate Department
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 hours ago
the ability to design and implement novel artificial intelligence algorithms. Examples of research directions could include: multimodal foundational models for biomedical data, deep-learning architectures
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research in the field of machine learning, more specifically, deep learning and representation learning architectures. Application areas of ML include, but are not limited to, computer vision, natural
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electronics, information systems, computer architecture, analog and mixed signals circuits, biomedical imaging, and photonics and semiconductors, with ML/AI infused in several of these research areas. Situated