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sensing technologies. The project aims to integrate novel depth-sensing hardware with advanced perception algorithms, simulation environments, and learning-based robotic control to enable autonomous and
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Übersicht Doctoral Position in Generative AI-Based, Computational Design Methods for Engineering Design 100%, Zurich, fixed-term Drucken The Engineering Design and Computing Laboratory has a fully
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, ultimately affecting therapy dose. In this project, we will complement the exoskeleton with an AI-based digital health intervention, specifically an LLM-based conversational agent that will deliver
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and physiological data. The work also includes the development of personas, the use of LLM‑enhanced decision narratives, and agent-based social modeling. The knowledge generated in the project will
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control and analytical characterization of newly developed radiopharmaceuticals. Conduct cell-based binding, uptake, and internalization studies. Plan, perform, and analyze preclinical biodistribution, PET
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development using image-based mechanistic modelling and simulation. Project background Organogenesis, the formation of organs during embryonic development, depends on tightly coordinated cell signalling
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develops digital twins of embryonic development and reproductive health using image-based mechanistic modelling and simulation. Project background Digital twins of living systems are a hard computational
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, waveguide optics, nanophotonics, or MIR photonics Optical characterization, laser-based experiments, or spectroscopy Numerical modelling and simulation of optical or multiphysics devices Python, MATLAB, or
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process simulation Analysis and presentation of results at scientific conferences and in journals Support in the preparation of third-party funding applications Participation in academic teaching and
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process in labs across HHMI. This role is part of the AI+CryoET project within AI@HHMI, a multi-institutional project at the intersection of cryo-electron tomography (cryoET), molecular dynamics simulation