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Field
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Classification Title: Post Doctoral Associate Job Description: A Post-doctoral Associate in Social Network Analysis position is available for up to 2 years to work within the NSF supported project
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efficient and scalable algorithms that can handle large-scale datasets. Tensor Analysis: Analyze the structure and properties of multidimensional networks represented as tensors. Investigate different
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and clinical metadata. Conduct network-based analysis (gene regulatory networks, protein-protein interaction networks, metabolic networks) to identify key disease drivers and biomarkers. Build
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the synthesis, structural characterization, and spectroscopic analysis of redox-active disulfide-based metal–organic frameworks (MOFs) and coordination networks. Designs and conducts experiments to investigate
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either or both agent-based modeling and social network analysis/network science. The ideal candidate should be able to program in C or C and have experience working with tera-bytes of data. Preference
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state-of-the-art campus and infrastructure, has woven a sound academic and research network, and its recruitment process is seeking high quality academics and professionals in order to boost its quality
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. FutureNeuro brings together multidisciplinary scientific teams with clinicians and industry to deliver advances in diagnostic medicine, personalized and network therapeutics, cross-linked by a national e-Health
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on the physical layer design of wireless communication systems and explore enabling technologies for 6G and beyond wireless networks. Applicants must hold a PhD degree in electrical/electronics engineering
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spatial network metrics. Strong quantitative skills, with experience in clustering analysis, data visualization, and statistical modelling. A research background in health-related topics. Demonstrated
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surveys on the subject. Contribute to developing novel communication designs to optimize the WSN-IoT system/network considering communication and data fusion requirements. Conduct a theoretical analysis of