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Job Description The postdoctoral researcher will conduct independent and collaborative research on projects involving brain network analysis, including investigations on the Drosophila connectome
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of fMRI data in task-based and resting- state tasks, including preprocessing, GLM modeling and BOLD contrast analysis, as well as functional and brain network analysis, • Experience in structural MRI data
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HAICu project to help unlock the potential of cultural digital archives through multimodal use, providing richer context and a more comprehensive analysis of current complex issues in society. If
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frameworks, bioinformatics, data analysis, data science, discrete and machine learning algorithms, distributed, intelligent, and interactive systems, networks, security, and software and database systems
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democracies justify departures from market principles. Component 2 — Systematic Evidence Review on Market Competition: systematic literature review and meta-analysis of evidence on competitive dynamics in
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 12 hours ago
, conduct, and analysis of the clinical trials and the dissemination of their findings. Responsibilities and opportunities will include: Contributing to clinical trial design, protocol development
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identifying ecological and functional connections between environmental and host-associated microbiomes. The postdoctoral researcher will work closely with a PhD student and an international network
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GESIS - Leibniz Institut für Sozialwissenschaften | Mannheim, Baden W rttemberg | Germany | 7 days ago
, Political Science, Social Psychology, Survey Methodology) Sound knowledge in empirical quantitative social research including the use of statistical analysis methods and programs (Stata, R) Excellent
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postdoctoral researcher in the NWO KIC project STURDI-Water (Storage, Upgrade, Reuse and Distribution of Water in regional collaborative networks), you lead research aimed at identifying the key success factors
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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