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in the Department of Electrical Sustainable Energy is inspired by the technical, scientific, and societal challenges originating from the transition towards a more sustainable society and focuses
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. Together, we want to explore how small models can extract useful information on specific crime themes, such as drug trafficking, primarily from publicly available news sources. Relevant tasks include
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to compare rodent behaviour with the human work packages. Collaborating closely with experts in ultrasound imaging, computational modelling, social neuroscience, and rodent circuit neuroscience. Preparing
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is to detect cognitive strategies in single-trial EEG data. In very broad terms, we will use the HMP method (https://github.com/GWeindel/hmp ) to discover cognitive operations in existing data, label
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across a range of application areas, including education and healthcare. As these systems are increasingly deployed in high-stakes environments, there is a growing need for machine learning models
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to apply Website https://www.academictransfer.com/en/jobs/363280/postdoc-accelerating-the-circul… Requirements Specific Requirements A PhD in any relevant social science or humanities discipline; a proven
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geothermal projects lead to significant seismic activity?’ The project combines laboratory experiments, geophysical field monitoring and numerical reservoir modelling. This postdoctoral researcher will work
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Jurassic carbon-cycle dynamics in order to disentangle the secular evolution of Jurassic carbon-climate interaction during rapid icehouse–greenhouse transitions. We propose to reconstruct pCO₂ across
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at the intersection of conversational AI, human–computer interaction, multimodal interaction, user modelling, and cultural heritage. As a postdoctoral researcher, you will: Conduct research on dialogic interaction
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with flow modelling for applications in industrial wind tunnels for the aerospace sector and oversee the application of helium-filled soap bubbles as flow tracers up to the supersonic regime. Job