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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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. Our research spans from the molecular level to the scale of systems. We develop simulation and experimental methods to advance sustainable energy and chemical processes from the molecular to the system
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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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infrastructure A lab at the forefront of AI adoption in research, with access to high-end computational resources and environments — bring your own tricks Mentoring and career development support Initial 1-year
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solely through spatial structures, we develop THz time-varying photonic systems based on subwavelength waveguides, where ultrafast excitations modify the optical properties of a material on the order of 1
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In NCCR CLIM+, storylines are used to work inter- and transdisciplinarily to develop (adaptation and mitigation) solutions to changes in climate extremes. While individual storylines target