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industrial needs, we are looking for a postdoc holding a PhD in material science, physics or chemistry, with a clear link to X-ray based analytical methods, especially to X-ray diffraction and even more
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Materials science and technology are our passion. With our cutting-edge research, Empa's around 1,100 employees make essential contributions to the well-being of society for a future worth living. Empa is a research institution of the ETH Domain. Environmental noise from air and ground-borne...
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the handling of natural hazards. Within the framework of the Europe-wide initiative FORSAID we are offering a position starting in January 2026 or by agreement, for the duration of 1.5 years as a PostDoc in
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textile processing for sustainable filter composites. Your tasks The PostDoc will take the lead in: Organizing project meetings and reports according to internal and external (industry partner, funding
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, financial networks, e-democracy, voting, social networks, online analysis with delay, and theory of distributed algorithms. In our group, we work on both theory and practice: some members of our group focus
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of novel physics-guided AI algorithms for drug design, integrating physics-based modeling with state-of-the-art deep learning methods. The project will focus on creating a next-generation docking framework
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into embedded prototypes to demonstrate real-world feasibility. The overarching goal is to bridge high-level algorithmic innovation with energy-aware hardware deployment, enabling intelligent sensor systems
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What will be funded? The applicant’s salary Materials (on a limited scale) The maximum duration of project funding depends on the faculty at which the project is carried out. Faculty of Theology and the Study of Religion: 12 months Faculty of Law: 12 months Faculty of Business, Economics and...
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technologies (i.e. computing, data, algorithms, AI) in society. We are in particular looking for candidates who have interest and experience with STS and humanities pedagogy in the context of a technical
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develop cutting-edge algorithms and AI-based solutions for data processing and validation and provide scientific expertise for the implementation of future remote sensing missions. The team’s work bridges