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expertise in discrete choice modelling, statistical modeling, traffic simulation, machine learning, and optimization techniques. • Strong expertise in discrete choice modelling, statistical modelling, and
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phase 3 - full implementation of the provision (18 months). The programme integrates theoretical knowledge with applied practice through a blended model comprising workshops, school-based placements
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. The laboratory combines human tissues with genetically engineered and carcinogen-associated mouse models, lineage tracing, organoid systems, preclinical intervention studies, and state-of-the-art single-cell and
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focus on distributed acoustic sensing on pre-existing telecom fiber networks, wavefield analysis, structural and geophysical interpretation, multi-modal data fusion, and lab-scale and field experiments
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telecom fiber networks. The role will focus on ambient and anthropogenic seismic noise for urban subsurface characterization, seismic source characterization, geophysical imaging, and environmental
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1. A PhD degree in a relevant area, e.g., Chemical Engineering, Control Engineering, Computer Science, Systems Engineering, etc. 2. The candidates should have strong math, modeling, programming, and
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candidate must have at least 1+ years of research experience in social media mining, computational modeling of social science theories, working with social network analysis tools, and examining cyber
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related discipline; The candidate must have 2+ years of research experience in social media mining, computational modeling of social science theories, working with social network analysis tools, and
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candidate must have 3+ years of research experience in social media mining, computational modeling of social science theories, working with social network analysis tools, and examining cyber campaigns
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Research Institute (FBRI) at Virginia Tech Carilion (VTC). About the Lab The lab integrates state-of-the-art neural recording technologies, complex cognitive tasks, and computational models to investigate