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together physicists, earth and planetary scientists, chemists and biologists to understand the conditions and the mechanisms that enable life to emerge. Developing reliable methods to detect reliable traces
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through proprioception. We develop widely-used open-source tools (e.g., DeepLabCut), train biomechanically realistic embodied agents (e.g., MuscleMimic, Kinesis, Arnold), and build AI-based models
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processes . Each postdoc will lead their own independent research direction, with an opportunity for close collaborative work. Main duties and responsibilities You will develop an acquisition and
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particular the development of generative AI technologies such as diffusion models, flow matching, generative transformers, or related architectures. The position is highly methodological and focuses
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neuroscience. Within this framework, AI models are co-developed with domain experts to unlock concrete biological questions and accelerate their translation to clinic. The large and interdisciplinary research
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than 18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries. Postdoc in Cancer Neuroscience Mission Our laboratory develops and applies advanced molecular and
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training costs are exploding, largely due to energy and bandwidth inefficiencies in current electrical datacenters. Our group is developing a novel Optical Circuit Switched (OCS) architecture
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(acoustic crystals). The candidate should have solid experience in the development of hydrogel acoustic metamaterials. We also welcome and can host candidates to apply for MSCA Postdoctoral Fellowships 2026
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building envelope performance Development of standardised test protocols for non-destructive assessment of building envelope elements Support for ongoing practical research on design for disassembly and
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responsiveness. The project will develop and validate individually calibrated behavioral tasks in immersive virtual reality (VR) to quantify effort-based motivation, vigor, persistence, and goal-directed versus