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to exciting research within a collaborative and dynamic environment. About us The position will be hired in Urban Mobility Systems Research Area in Department of Architecture and Civil Engineering, and will be
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non-market strategy. Faculty apply advanced quantitative and qualitative methods to generate systematic knowledge about business-government relations and international business relations. To learn more
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possible research topics include: (i) social media analysis, (ii) collaboration and teamwork, (iii) gender inequality, (iv) diversity, (v) online controlled experiments, and (vi) network science. The ideal
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candidates whose expertise falls within one or more of the following areas: computational and mathematical modeling, statistical modeling, machine learning, network science, bioinformatics, applied mathematics
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and intelligent vision systems, including efficient learning and inference of complex AI/ML algorithms, specialized neural processing hardware and design tools, and ML security, and their applications
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project Project: Digital learning materials for the Global South and refugee camps At Akelius Math Learning Lab, teachers and researchers collaborate to develop a digital mathematics learning material. In
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specific projects that the candidate would like to lead within CITIES, along with potential collaborators within the Center. If you have any questions, please email us at [email protected] . Evaluations
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State University and work closely with I-CREWS researchers across the state. The position emphasizes developing, integrating, and applying modeling approaches-including machine learning (ML), hydrologic
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-XRF, Raman, FTIR in reflection mode) to enable multimodal data fusion and automated material characterization. • Apply and further develop machine-learning and statistical models (e.g. PCA, SAM
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strong collaboration with the SHORES multidisciplinary research teams. The project will be focused on advanced modeling of coupled fracture/damage of geomechanical materials when subjected a range of