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                (R2) Country Switzerland Application Deadline 27 Nov 2025 - 22:59 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week 38 Is the job funded through the EU Research Framework Programme 
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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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                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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                . This postdoc position is part of a national collaborative project involving two major industrial partners — leading suppliers of battery materials and manufacturing equipment for gigafactories. The project is 
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                interdisciplinary project on the development of new computational approaches for improving safety and sustainability of (nano)materials based on publicly available data and tools, including omics data, and 
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                work with rich datasets, advanced analytical tools, high-performance computing infrastructure, cutting-edge photonic sources, and modern industrial machinery. In this position, you will contribute 
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                for removing atmospheric CO2 and converting it into useful and valuable materials. In this context, our Technology and Society Laboratory (TSL) is looking for a highly motivated PostDoc or Scientist to address 
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                : use of thin steel membranes to investigate hydrogen uptake, diffusion, and trapping under representative microstructural and stress conditions. The three postdocs will collaborate closely across 
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                Engineering » Other Physics » Computational physics Researcher Profile Leading Researcher (R4) Country Switzerland Application Deadline 25 Dec 2025 - 22:59 (UTC) Type of Contract To be defined Job Status Full 
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                to support a circular bioeconomy. We are seeking a highly motivated postdoctoral researcher to develop and apply machine‑learning and data‑science methods, with a focus on computer vision, to enhance wood