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accumulation trajectories within and between social groups. The project breaks new ground by combining longitudinal data from surveys and registers with new biographical data on wealth, making it possible
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. Communication: Strong written and oral communication skills, with the ability to present complex scientific concepts clearly and concisely. Preferred Qualifications Postdoctoral or industry experience in a CAR-T
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tutorials. The doctoral researcher will benefit from being part of large research group comprising several PhDs and Postdoctoral Researchers working on related topics of Urban Economics, Trade and Migration
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, coordination, and decision-making algorithms for multiple autonomous agents—such as robots (robotic manipulators, drones, or vehicles)—that work together to achieve common goals in dynamic, uncertain
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cancer centers. Individuals in all areas of cancer research will be considered, with special emphases on: cancer and the environment, epigenetics and chromatin, gene-environment interactions, chemical
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Max Planck Institute for Plant Breeding Research, Köln | Koln, Nordrhein Westfalen | Germany | 13 days ago
advantage) Are committed to adapt to the service-oriented nature of the facility and can easily interact with facility users Remuneration based on qualifications and experience in accordance with the TVöD
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games and/or competitive activities Self-motivated and quick to learn, thriving in dynamic, fast-moving environment By applying to this role, you will be automatically considered for the Quantitative
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seeking a postdoctoral researcher to investigate how the use of visualization and simulation tools impacts undergraduate students' understanding and attitudes in topics related to semiconductor physics
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The role The post is part of the Wellcome Discovery Award research programme “Collective Action for Race Equity in Health and Social Care”, which aims to address and dismantle structural factors
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seeking exceptional researchers to join our dynamic team. As a Machine Learning Researcher, you will apply advanced ML techniques to a wide range of forecasting challenges, including time series analysis