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, spatial transcriptomics, and high-plex immunofluorescence spatial proteomics to uncover disease mechanisms. Perform data mining, integration, and visualization, extracting meaningful insights from diverse
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other public events. Required Qualifications: Ph.D. in computer science, physics, data science, or closely related field; Experience in data mining and machine learning, or experience with agent-based
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Bioinformatics, Computational Biology, or related areas; Hands-on experience with, or a strong interest in, bioinformatics programming, including Linux, scripting, and R; Expertise in data mining and cleaning
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: Surface and materials science Microanalysis & mass spectrometry Isotope geochemistry and geochronology Mineral processing and engineering We enable critical research across sectors including mining and
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datasets. Experience with 3D data visualization programs. Knowledge of programming and software development. First-hand industry experience in mining, exploration, GIS, petrophysics or geophysics Why JCU
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Mineral processing and engineering We enable critical research across sectors including mining and minerals, geochemistry, energy materials, environmental science, forensics, metallurgy and defence . Each
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 14 hours ago
focus of your research will be on mining publicly available data repositories and use machine learning to discover linkages between heterogeneous biological, social, and environmental data and human
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Postdoctoral Fellow with Assistant Professor Tracy Ke. Assistant Professor Ke’s lab focuses on research in high-dimensional data analysis, machine learning, social network analysis, text mining, bioinformatics