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groups to study cancer biology using deep clinicogenomics data and cutting edge NGS diagnostics. The Opportunity: Opportunity to drive scientific, analytic, and technical innovation in a community of
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, computer science, bioinformatics, or other related disciplines is required. Strong interest, research background and experience in the methodology research in statistical genomics, machine/deep learning
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preparing progress reports. Additional duties as assigned. Knowledge, Skills and Abilities: Knowledge of deep learning, machine learning, image processing, and EO/IR and RF signal processing. Strong analysis
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of the following backgrounds are particularly encouraged to apply: Machine learning and deep learning, particularly for time-series modeling Structural health monitoring (SHM), including fiber-optic sensor
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are embedded in our Principles of Community , which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC
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://gero.usc.edu The Irimia Laboratory leverages neuroimaging, neurogenomics, and deep learning to study the aging brain in health and disease, particularly in neurodegenerative conditions like Alzheimers disease
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involve developing methods for complex trait analysis, scalable Bayesian and deep learning approaches, or algorithms for inferring and analysing large-scale graph data structures. Experience in statistical
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deep reinforcement learning, multi-agent systems, trustworthy AI, explainable/safe SI, neuro-symbolic/neuro-symbolic AI, and intelligent autonomous driving. Publish research findings in top-tier
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quantum chemistry calculations and data-driven materials property predictions. A deep understanding of materials properties and close connections in academia and industry enable the group to explore
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and sets up experiments in hybrid research environment. 2. Researches artificial intelligence/machine learning algorithms, database design, deep learning, big data, and cloud computing. 3. Publishes