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-loop drug discovery. The project aims to establish an integrated Design–Make–Test–Analyze (DMTA) platform combining generative AI, ultra-large synthetically accessible chemical spaces, physics-informed
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pollutants, with particular interest in ultrafine particles and indoor aerosols; Concentrations, dynamics, and transformations of indoor pollutants, including physical and chemical processes occurring after
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, including physical and chemical processes occurring after emission; Human inhalation exposure to indoor air pollutants and factors influencing exposure; Experimental characterization of indoor aerosols and
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the sufficient imaging resolutions (sub-20 nm) measurements become slow, and because dose accumulates with every repeated measurement, radiation damage sets a hard limit on how long a process can be
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processes . Each postdoc will lead their own independent research direction, with an opportunity for close collaborative work. Main duties and responsibilities You will develop an acquisition and
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the sufficient imaging resolutions (sub-20 nm) measurements become slow, and because dose accumulates with every repeated measurement, radiation damage sets a hard limit on how long a process can be
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modeling Contribute to project planning, risk mitigation, publications, conference presentations and the dissemination of results Profile A PhD in experimental atomic, molecular or optical physics, physical
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stacks. Unlike typical high-level networking roles, this project requires "bare-metal" intervention, programming the firmware and drivers that decide how and when data moves. Role & Profile You will lead
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10 Jul 2026 Job Information Organisation/Company ETH Zürich Research Field Physics » Condensed matter properties Physics » Other Researcher Profile Recognised Researcher (R2) Application Deadline 6
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motivated Postdoctoral Researcher to lead research on multimodal reasoning models for oncology. The project focuses on developing, post-training, and evaluating flexible AI models that can support complex