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German and English Participation in the academic activities of the Collaborative Research Centre and the internal phd programme Where to apply Website https://stellenboerse.uni-mainz.de/jgu/job/52629
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environmental processes, in order to explain their long-term developments and to understand how they resonate into the present (https://www.uni-kiel.de/en/cluster-roots ). ROOTS combines expertise from a wide
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: 28.11.2025 Job description: DESY MorphoSphere develops a powerful data management architecture for a distributed, smart and interactive Storage & Analysis Repository of Digitized Morphology as a pilot project
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, including in the field of systemic neurobiology with a focus on the visual system of mice, interactions between different brain regions and understanding the role of inhibitory neurons in cortical code. • Own
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for the Greifswalder Bodden, to investigate the complex interactions between turbulence, bottom friction, light availability, and nutrient inputs. The primary aim is to improve our understanding of the environmental
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Max Planck Institute for Human Cognitive and Brain Sciences • | Leipzig, Sachsen | Germany | 3 days ago
TU Dresden or UCL may attend online. Application deadline See our website (https://imprs-coni.mpg.de/application-dates) for further information. Tuition fees per semester in EUR None Combined Master's
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Euro / year + benefits). 3D Semantic Scene Understanding: The world around us exists spatially in 3D, and it is crucial to understand real-world scenes in 3D to enable virtual or robotic interactions
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Euro / year + benefits). 3D Semantic Scene Understanding: The world around us exists spatially in 3D, and it is crucial to understand real-world scenes in 3D to enable virtual or robotic interactions
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interactions with such environments. We investigate machine learning approaches to infer semantic understanding of real-world scenes and the objects inside them from visual data, including images and depth/3D
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of acquisition, organization, compression, analysis, and visualization of georeferenced or geometric data in large scales. We put emphasis on methods of distributed computing, machine learning, image and text