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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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systems, urban technology, networks science, information, decision and complex networks, computational and infrastructure intelligence, revenue and finance, complex systems architectural design framework
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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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Genetics to join our team. Our mission is to advance the understanding of the genetic architecture of complex human diseases and traits, enhance our ability to predict disease, target prevention efforts in
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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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the Grammy Award-winning Buffalo Philharmonic Orchestra ; the world-class collection of modern painting and sculpture at the Albright-Knox Art Museum ; an extensive array of historic architectural treasures
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collection of modern painting and sculpture at the Albright-Knox Art Museum ; an extensive array of historic architectural treasures designed by Frank Lloyd Wright, H.H. Richardson, Louis Sullivan, and Eero
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days 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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, parameter-efficient fine-tuning methods such as LoRA and adapter-based tuning, and retrieval-augmented generation (RAG) approaches. Familiarity with LLM architectures (e.g., GPT, BERT, T5), Transformer-based