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Report, 2023). With a global alumni network of approximately 280,000 – including leaders at many of the 24 Fortune 500 companies headquartered in North Texas – UTA contributes an estimated $29 billion
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researchers to advance Systems Science and Engineering by modeling human behavior in complex dynamic networks addressing global challenges. Emphasizing Cyber-Human-Physical Systems, it tackles issues like
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help develop new computational models that integrate molecular reaction networks with AI/ML algorithms in order to predict patient-specific cardiac remodeling and heart disease outcomes across human
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fibrosis, using novel mouse models and human precision-cut lung slices to study how metabolic networks may reveal disease- and context-specific targets for selectively interrupting pathological cellular
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concentration/functional inequalities Markov processes and stochastic analysis Theoretical analysis of neural networks and deep learning Foundations of reinforcement learning and bandit algorithms Mathematical
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, host genetics, and addiction vulnerability. The postdoctoral fellow will lead the development of cutting-edge, explainable graph neural network (GNN) models that integrate microbiome functional profiles
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National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | about 10 hours ago
their field of study Engage with new areas of basic and applied research Transition classroom theory into hands-on experience Network with world-class scientists Exchange ideas and skills with the Laboratory community
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architecture, enhancer-promoter communication, disease risk variants, and gene regulatory networks in development, regeneration, and disease. Research models may include patient samples, mouse models, and iPSC
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photonic devices for applications in classical and quantum information processing, sensing, and networking. The position provides access to state of-the-art nanofabrication facilities, advanced photonic
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international collaborative network with theorists and device/sample fabrication this supports pushing the boundaries of the emergent field of quantum nano-spectroscopy. Responsibilities: As a highly independent