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Field
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management and collection, causal inference, network analysis, graph theory, visualizations, and online tool development. Experience in conducting online controlled experiments is also desired, but not
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, particularly in techniques such as Schlenk line, glove box, powder X-ray diffraction, electron diffraction, electron microscopy, and porosity analysis. The candidate is expected to have a thorough understanding
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, or biophysical simulations. Demonstrated interest in biological systems, prior experience in biological modeling and in transcriptomic data analysis. Proficiency in programming (e.g., Python, R) and familiarity
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of Sociology at Duke University invites applicants for a Postdoctoral Associate with expertise in economic sociology, immmigration, organizations, network analysis, or inequality broadly defined. In
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sheet microscopy and data analysis, miniendoscopes application in a behaving mouse, network analysis would be a key asset; Strong interest in the brain research; Proficiency in English; Exceptional
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biodiversity and ecosystem services, GIS, inter- and transdisciplinary collaboration, and quantitative knowledge synthesis (meta-analysis) are meritorious, as are skills in Swedish. About us The position is
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bioenergy, cultivation and conversion of micro and macroalgae, and geology and mining. Oriented towards Africa, ASARI acts in connection with a wide network of universities and research centers around the
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | 3 days ago
, the successful candidate will work on a project aimed at understanding which factors are shaping the length of working life; and/or on projects in survival analysis and causal inference. The candidate will develop
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topology, including understanding of riverine structures, branching patterns, and flow dynamics. Experience in network analysis, capable of analyzing and interpreting the interconnectedness and hierarchical
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the interface of computational biology, molecular science and translational medicine, generating large multi-omic datasets that require robust, reproducible analysis to identify rare signals with high accuracy