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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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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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. 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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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
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on the ERC project and your own research interests. You will apply state-of-art methods of social network analysis, such as Stochastic Actor-Oriented Models (training will be available). You will produce high
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network analysis Experience with omics data analysis Our offer A highly interdisciplinary and supportive environment with a cutting-edge research project Support for further career development A strong
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group (https://bckrlab.org). We focus on high impact applications and work on knowledge-centric AI and biomedical machine learning including multi-omics integration, single cell analysis, and sequential
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and compare two distinct mathematical approaches to network metrology: Spectral analysis approach – based on network layer decomposition and spectral measures on singular values to mathematically