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five (5) years. Must possess a high degree of knowledge in network administration, PC hardware, systems analysis and software. Must possess the organizational and communications skills necessary to be
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to ethical and reproducible research. Relevant experience may include network measurement, mobile systems, browser instrumentation, distributed experimentation, statistical analysis, causal inference, large
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, computer science, applied mathematics or a closely related field. - Programming experience (e.g. Python, R or similar). Solid knowledge of network biology, mathematical modelling and/or omics data analysis
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 6 hours ago
, the CSCC provides study design, data management, statistical analysis, quality assurance, and study management services to a broad array of projects funded primarily by the National Institutes of Health (NIH
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looking to appoint a Early Stage Marie Curie Researcher to undertake high-quality research within the MSCA Doctoral Network POSEIDON (https://poseidon-dn.eu/ ). The postholder will be assisting in
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engages in a literature review on intra-parliamentary relations, EP party groups, Bourdieusian fields, network analysis, epistemic communities, and prosopographies of collective actors. PD3 engages in
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. Ensure data is stored securely and is accessible for analysis. Collecting and Analyzing Data: Oversee the collection of research data, ensuring accuracy and reliability. Reporting Results: Prepare
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staff (faculty members, researchers, and support staff). It is strongly integrated into local, national, and international scientific networks related to mechanics, materials, and risk analysis. The post
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, we use a network-science lens and implementation science approaches in our work. Postdoctoral Associate will be involved with data collection, secondary data analysis, the preparation of manuscripts
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. Concretely, the project will develop a governance framework and typology of procurement mechanisms as instruments for learning and experimentation. It may combine comparative case studies, network analysis