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models of regulation and dynamics . Flow- and diffusion-based models of cellular dynamics are expressive enough to map any source to any target state, but they fall short of learning the underlying
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communication. Move beyond descriptive ligand–receptor analysis to models that predict and help understand how cells react to signaling cues. ● Joint models of regulation and dynamics. Flow- and diffusion-based
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research exploring the processes controlling tropospheric composition (gases and particles) and their intersection with global change. Research makes extensive use of global modeling tools (GEOS-Chem and
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the resulting data for broad-scale biogeographic analyses integrating continental plate and ocean current models to determine whether their ecological adaptations facilitated arthropod dispersal in Earth’s early
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models and combine them with cutting-edge technologies including CRISPR/Cas9 genome engineering, immunopeptidomics, single-cell multiomics, and functional immunology. The project is embedded in a
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with genetic, molecular, biochemical, and mass-spectrometric approaches, as well as translational models and patient-derived samples. The Institute for Research in Biomedicine (www.irb.usi.ch ) is a
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delivery performance in relevant in vitro 3D tissue models. The project combines nanoparticle formulation, colloidal self-assembly principles and advanced physicochemical characterization with cellular and
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, flavour physics, effective field theories, theories beyond the standard model and computer algebra. More details on current research activities can be found on our homepage: https://www.physik.uzh.ch/en
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field. Strong foundations in machine learning and familiarity with current AI tools and practices. A solid understanding of large language models, in particular their reliability, security, and
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behavioural interventions in healthcare. However, current conversational AI systems remain limited in their ability to operate reliably across diverse clinical contexts. They often lack generalisability