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services research). Significant relevant research experience in public health / social sciences, relating to mental health/ substance use. Experience in quantitative and qualitative analysis specifically
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of/on networks with higher-order interactions. This will be in collaboration with an NSF-funded ASU-UCLA team using ants as a model system and developing theory to characterize dynamic processes on networks as
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analysis of future 6G communication networks that are capable of supporting new services for digital ecosystems. Use cases of interest include Security and Efficient Wireless Communication Solutions, IoT
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position in the area of Security of Emerging Network and Networked Systems. SCAI (https://scai.engineering.asu.edu/ ), one of the eight Fulton Schools, houses a vibrant Computer Science Engineering research
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(Networks) provides technical leadership and coordination for the university’s enterprise network services, including campus networking, data center connectivity, wireless infrastructure, electronic
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), Multilayer Perceptron (MLP), Autoencoders, Convolutional Neural Networks (CNNs), and Kolmogorov–Arnold Networks (KANs). Desirable knowledge of Gradient Boosting models such as HistGBM, LightGBM, and XGBoost
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Network “A Coherent Analysis Framework for Emergence in Biological Systems” (CAFE-BIO) on the project “Proliferating active media”, which aims to investigate the interactions between different forms
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theories, working with social network analysis tools, and examining cyber campaigns conducted on social media; A candidate with experience in operational research, optimization tools, information theory
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CAS will provide the necessary expertise in the analysis of complex data, including multimodal neuroimaging measurements, the use of information theory, nonlinear dynamic systems, network theory
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Senckenberg Gesellschaft fuer Naturforschung | Wilhelmshaven, Niedersachsen | Germany | about 12 hours ago
• Active participation in several research cruises per year (approx. two weeks each) in the North and Baltic Sea • Taxonomic identification and quantitative analysis of marine benthic infauna and epifauna