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advanced data‑mining and machine‑learning methods. The expected scientific outcome is to establish guidelines for identifying and optimizing promising electrolyte materials and to support the
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-based solutions, for scientific text mining, multimodal integration of literature and biological data, and knowledge extraction to support discovery. Collaborate with researchers to identify opportunities
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and Agentic AI Research Centre (CIAA) Pattern Recognition/Machine Learning/Deep Learning/Reinforcement Learning, LLM/MLLM, Generative AI, Neural Graphics, Graph Mining, Data Mining, AI agent, Natural
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multi-omics data, including WGS, WES, DNA methylation, RNA-seq, proteomics, lipidomics and metabolomics in large-scale human populations. The lab is interested in integrating and mining the different
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multi-omics data, including WGS, WES, DNA methylation, RNA-seq, proteomics, lipidomics and metabolomics in large-scale human populations. The lab is interested in integrating and mining the different
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and data will be lost. Posting Summary Logo Posting Number RTF00158PO26 USC Market Title Statistical and Research Analyst Link to USC Market Title https://uscjobs.sc.edu/titles/156422 Business Title
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, f.ex.: Arctic ecosystem responses to climate change and anthropogenic disturbance including natural resource exploitation like mining and other industrial activities, biodiversity and population ecology
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Mining, and Data Visualization. Teaching will be at the undergraduate and Masters level. The Department is home to a large community of scholars and students. We foster strong ties to the Silicon Valley
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to mass spectrometry-based metabolomics datasets, with discovery of unknown metabolites being a major focus. The laboratory is engaged in several metabolite discovery campaigns involving mining of
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use and processing of resources from mining to recycling. Our goal is to create sustainable technical systems for metals and mineral resources. We use industrial ecology methods, particularly raw