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the development of novel and innovative numerical techniques aiming at improving the integration between numerical simulations and geometric modelling and processing. Within the project «FLASh: Fast simulation
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of sensorimotor processing. We are recruiting two postdocs: Postdoc in Computer Vision & AI for Behavior Analysis Postdoc in Embodied AI (Reinforcement Learning for Motor Control) Main duties and responsibilities
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building lifecycle processes Hands-on experience in laboratory environment Creative and eager to explore and develop new methodological approaches Experience with quantitative research methods with a strong
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promise advanced functionality for applications such as quantum information processing and precision sensing. Thin film lithium niobate (TFLN) is a maturing photonics platform that can integrate frequency