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The University of Gothenburg tackles society’s challenges with diverse knowledge. 58 000 students and 6800 employees make the university a large and inspiring place to work and study. Strong
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Inria, the French national research institute for the digital sciences | Saclay, le de France | France | 3 months ago
applications will be tackled. The first concerns electrical machines like power plant alternators for which EDF has developped numerical simulators and has large sets of sensor data (measuring leaking flux
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8 Jul 2026 Job Information Organisation/Company Saarland University Department Data Driven Simulation and Analysis in Material Science Research Field Computer science Researcher Profile First Stage
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12 Sep 2026 Job Information Organisation/Company Utrecht University Research Field Environmental science » Ecology Environmental science » Global change Geography » Human geography Researcher
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for a sustainable and healthy future. From forest fires to big data, from obesity to malnutrition, and from molecules to the moon: we cover the full spectrum of the natural sciences. Our teaching and
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AITHYRA GmbH - Research Institute for Biomedical Artificial Intelligence of the Austrian Academy of Sciences | Vienna, Virginia | United States | 2 days ago
in AI/ML. In order to create sufficient amounts of data to support AI applications, AITHYRA invests in experimental automation through a robotics laboratory infrastructure. While this research program
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31 Jul 2026 Job Information Organisation/Company CNRS Department Institut de Recherches sur la Catalyse et l'Environnement de Lyon Research Field Chemistry Chemistry » Computational chemistry
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by survivors but politically sensitive. So far there is no consensus or empirical data on how reparations could address colonial legacies. This important question will guide your PhD research in
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, their performance depends on effective operation and maintenance which in practice is often reactive or based on fixed schedules, despite large spatial and temporal variability in sediment accumulation
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and disease development after infection with Phytophthora or Ralstonia . You will combine these phenotyping data with bacterial and fungal microbiome profiles to build predictive models of pathogen