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exploration of protein interaction networks. Where to apply Website https://www.edsvs-univcotedazur.fr/ Requirements Research FieldBiological sciencesEducation LevelMaster Degree or equivalent Additional
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(e.g., mathematics, physics or computational social science), with a strong track record in network science (or complex networks / social network analysis); Excellent writing skills and proficiency
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from This Employer https://main.hercjobs.org/jobs/22214137/network-engineer-5168c-berkeley-seismological-lab Return to Search Results
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 1 hour ago
and aerodynamics through the use of comprehensive analysis, high-order computational fluid dynamics (CFD), and direct numerical simulation (DNS) tools. The postdoctoral researcher will work with CAMRAD
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is important to us – we support you specifically and individually e.g., through training and networking opportunities specifically for doctoral candidates (JuDocS): https://go.fzj.de/JuDocs • SUPPORT
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interviews and surveys; experience in facilitating PAR and focus groups is also desirable. In tandem with social science research experience, the Research Fellow must have an applied background in community
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of Engineering Position Headcount 2 Position Title Student Research Assistant- Social Network Analysis (MR-QAP) Academic Year Spring 2026 Term or Semester Spring Is this Role for an Undergrad or Grad Student
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given to candidates with a PHD in sociology, 2) documented research interests in the application of data mining techniques to the analysis of social phenomena, such as social network analysis, social
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multi-sited design (Italy, Mexico, Indonesia), integrating multi-scalar ethnography, discourse and visual analysis, digital ethnography, and Social Network Analysis. The contractor (Senior Researcher
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in Applied Quantitative Methods for Social Analysis programs. Teaching will be in a traditional classroom on our Arlington, Virginia campus with the potential to teach additional classes online