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Postdoctoral Researcher in Citizen Science & Societal Engagement for an Inclusive Energy Transition,
development and is determined to make a difference when it comes to key societal challenges; An employment contract as a post-doc for 0.8-1.0 fte for 2 years, depending on the preferences of the candidate
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internationally and is strengthened by the many young researchers working on innovative projects with as doctoral candidates and post-docs. It has been accommodated in three multidisciplinary UT research institutes
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Applications are invited for one fully funded, 2.5-year post-doc position (1.0 FTE) within the research project “The Platformization of Music: Towards a Global Theory” (PlatforMuse), financed by
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Vacancies Post-Doctoral Position in Surgical Robotics Key takeaways Research project description Minimally invasive surgery has revolutionized medicine by enabling interventions without large
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Location ESTEC, Noordwijk, Netherlands Our team and mission This research fellowship will be carried out in ESA’s Advanced Concepts Team (ACT): a team of research fellows (post-docs) and young
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. The key methodological tools for these studies are digital ethnography and conventional primary data collection (surveys, interviews). The post is part of two Horizon Europe projects: INSPIRE and EQUICARES
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1 fte - 1 fte Stay up to date with new vacancies! Want to be the first to know about vacancies that match your interests? Let us know what you're looking for, and we'll send you an email as soon as a
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are not designed to produce reliable regional estimates of those phenomena. Therefore, small area estimation (SAE) methods are used. With technological advances, Big Data now offers valuable spatial
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across domains. The research unit Intelligent Systems (IS) in Computer Science is focused on the development of Data Science, Pattern Recognition and Machine Learning algorithms for interdisciplinary data
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across domains. The research unit Intelligent Systems (IS) in Computer Science is focused on the development of Data Science, Pattern Recognition and Machine Learning algorithms for interdisciplinary data