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for Postdoctoral Researchers as part of the ERC-funded project ‘Emotions and bodies in fact-based media production: Integrating affective and embodied knowledge into journalism and documentary filmmaking’, led by Dr
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world models that integrate object-centric 3D representations (Gaussian Splatting) with physics simulators (Drake) to create efficient, physically grounded digital twins of real environments; developing
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, global ocean circulation and height systems. In addition, the temporal variations of gravity and the geoid help to measure mass exchange processes in the Earth system. Knowledge about the time-varying
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to benefit from local knowledge and prevent further escalation of conflict. For more details on the project, please see here . About the position: The Postdoctoral Researcher will have the following tasks
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skills: Good knowledge of ML/AI based techniques to develop fast surrogates (deep neural networks) and capability to develop own efficient model learning schemes (deep learning techniques, representation