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insights. Second, starting from large-scale transnational infrastructures that connect peripheries to various centres reveals the complexity of political-economic integration and dependencies better than
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the transition. You will work multidisciplinary within a large network of partners from academia, government and the private sector, acting as a link between knowledge, policy, practice and business. Your
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, linear mixed modelling, time series analysis, causal inference). Experience working with large, multimodal and/or open access data sets Interpersonal and communication skills toeffectively collaborate and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 3 hours ago
Posting Information Posting Details Department Biology - 318200 Posting Open Date 04/20/2026 Application Deadline 05/04/2026 Open Until Filled Yes Position Type Postdoctoral Scholar Position Title
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The Leibniz Institute for the Analysis of Biodiversity Change (LIB) is one of the large, globally connected research museums of the Leibniz Association. In addition to excellent research
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research assistants, PhD students, and project students). About the department The Department of Experimental Psychology is a large, internationally recognised department with a high volume of academic
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3 Apr 2026 Job Information Organisation/Company University of Twente (UT) Research Field Engineering » Aerospace engineering Engineering » Mechanical engineering Researcher Profile Recognised
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At the University of Vienna almost 11,000 personalities work together towards answering the big questions of the future. Around 7,700 of them do research and teaching, around 3,000 work in
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) utilizing integrative data analysis to harmonize phenotypic data across a number of large, genetically-informed longitudinal study samples with the goal of characterizing the longitudinal interplay between
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audio, large datasets, and multimodal neural recordings (EEG, fMRI, intracranial) to develop models with a major goal of interpretability so that we may better understand the influence of complex, natural