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component. Our scientists conduct ground-breaking fundamental and applied research in the fields of Life and Health Science & Technology, Nanoscience, Chemical Engineering, Radiation Science & Technology, and
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since early days of the industrial revolution. Particularly novel separation methods for products from electrochemical synthesis routes need to be developed & demonstrated at pilot scale for industrial
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vegetation ecology. You have hands-on experience with ecological data collection and are proficient in data analysis and statistical methods. You are willing to travel to field sites across Europe, and
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dry fractionation and agglomeration trials to improve functionality of legume ingredients? Do you want to understand rheology of hydrated ingredient blends to predict extrusion behaviour for meat
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through the Internet of Things create new opportunities to incorporate real-time insights into decision-making, combining tractable modelling with provably efficient solution methods. As a postdoctoral
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Postdoc Impact of Computational Infrastructures on Public Institutions and Administration of Justice
literature research and empirical studies combining qualitative methods and perspectives from political economy. The position requires enthusiasm for engagement with current computational infrastructures
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agriculture from being a major environmental pressure to a driving force for sustainability? Are you eager to combine theory and practice—working with both quantitative and qualitative research methods—to shape
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key aim is to create and evaluate a method for teleoperation of a single robot and a swarm of robots through human-machine interfaces where a shared control system arbitrates the authority over
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are required. This necessitates re-invention of processes that are in use since early days of the industrial revolution. Particularly novel separation methods for products from electrochemical synthesis
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: 12 September 2025 Apply now Join the faculty of Geosciences as a postdoctoral researcher! You will work on carbon turnover models and the fusion of data science forecasting methods with process-based