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aims to develop data-efficient and reliable training strategies for vision foundation models, reducing the need for large datasets and improving robustness. The project will explore strategies related
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support systems, specifically simulation games and geospatial digital twins. These systems use detailed representations of a real-world environment and its processes by linking to a myriad of data and
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potential recovery-enhancing interventions. You will also help refine the experimental setup for stable long-term measurements, analyze large-scale electrophysiological and imaging data, and collaborate
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performances the in-capsule organoids formation. Moreover, you will pioneer the annealing of the organoid-forming microgels into large microporous living materials that contain perfusable capillary-like networks
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for manufacturing large structures such as fuselage and wing panels. Reliable process control is critical: underheating leads to poor bonding, while overheating causes polymer degradation. At the heart of process