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Field
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deep learning methods with clinical impact. The project is highly interdisciplinary, and the successful candidate is expected to interact with clinical and industrial partners. Where to apply Website
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. This is an innovative nature-inclusive approach to develop future-proof, sustainable methods to produce healthier and higher quality seafood, and to improve seafood security, human health, and the
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importance. Acoustics-based diagnosis, using an array of microphones, is a promising method to identify faults, as sensing on the moving components in these high tech systems is not possible. The challenge is
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to important problems of the 21st century. To that end, we educate innovative students in broad Bachelor's and specialist Master's programmes with a strong research component. Our scientists conduct ground
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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