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Engineering, has an opening for a doctoral student. This position focuses on the development of uncertainty-aware methods and optimisation tools for robust railway intervention planning and resource forecasting
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track record of open-source contributions. Project background We train open foundation models with hundreds of billions of parameters on thousands of GPUs on one of the largest AI-ready supercomputers in
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. We train open foundation models with hundreds of billions of parameters on thousands of GPUs on one of the largest AI-ready supercomputers in Europe. The team counts more than a dozen full-time
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functional characterization. Our long-term goal is to develop materials with potential for technology transfer to semiconductor and photonic industries, as well as energy conversion and storage applications
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performance. Building on an ongoing doctoral project and an established data collaboration in industrial technology, this project develops and benchmarks multimodal embedding approaches, text and image, encoded
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willingness and motivation to further develop these skills in R and Qualtrics, e.g. programming, analysis of spatial data, etc. strong oral and written communication skills in French and/or Italian interest in
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100%, Zurich, fixed-term The Ultrafast Spectroscopy and Attosecond Science group at the Laboratory of Physical Chemistry, Department of Chemistry and Applied Biosciences, ETH Zurich develops
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. A strong interest and drive in developing these skills is expected. Your tasks may include: Collecting macroeconomic data from public statistical offices, central banks, international organizations
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(acoustic crystals). The candidate should have solid experience in the development of hydrogel acoustic metamaterials. We also welcome and can host candidates to apply for MSCA Postdoctoral Fellowships 2026
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on experience and qualifications Continuous learning and professional development opportunities Informations Contract Start Date : As soon as possible Activity Rate : 100.00 Contract Type: CDI