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strong track record of publications in peer-reviewed journals involving advanced emulation or physics-aware AI Demonstrated ability to work effectively in interdisciplinary and multicultural research teams
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the team. Collaborate effectively with team members, clinical/pre-clinical partners, and consortium stakeholders (e.g., SMOC-related activities), aligning deliverables and timelines. Support training and
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vibrations), and structural (migration of atoms) effects with an atomistic resolution. This can be achieved by self-consistently coupling molecular dynamics (MD), density-functional theory (DFT), and quantum
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change in how drift is observed and quantified. There is a pressing need for non-invasive, cost-effective, and broadly deployable technologies capable of providing long-term (weeks to years), highly
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politicization affect technology adoption, industrial development, policy design, and its socio-technical and political feedback effects. The project is embedded within ETH Zurich’s new Einstein School of Public