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this field, we are looking for a PhD candidate for the development of novel multi-constituent nanopastes. Central questions are suitable paste chemistries and the interaction between organic and in-organic
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, CUDA) and good understanding of hardware used in large scale HPC clusters such as hybrid CPU+GPU systems, memory hierarchies and file systems; experience with job schedulers (e.g., Slurm, FLUX) and
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CUDA and scientific computing libraries (e.g., NumPy, SciPy). Workload: Approximately 15 hours per week on average during the semester, with the possibility of increased working hours (up to 40 hours
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components like self-labeling protein tags for application in cell biology. The work is highly interdisciplinary and collaborative, involving synthetic chemistry and/or protein engineering as well as cell
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on their founders' knowledge acquired at ETH Zurich. With the planned introduction of the new ETH start-up label in 2025, we expect 40-60 ETH start-ups per year. To support these start-ups, ETH Zurich is launching
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function, with a particular emphasis on DNA/RNA-LNPs for next-generation gene therapeutics. Your tasks This PhD position is part of a larger EU-funded project focused on the metrological characterization
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transmission and develop diagnostics and treatment. Loculus and Pathoplexus are part of a key effort to make such data sharing easier and more equitable. In this position, you'll be part of an international team
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deficient waters of the eastern tropical Pacific, where a large portion of the marine N2O is emitted into the atmosphere, but we plan to extend this also to other regions of the world. Ph.D. position 2
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80%-100%, Zurich, fixed-term The Swiss Data Science Center (SDSC) is a National Research Infrastructure jointly founded by EPFL and ETH Zurich and part of the ETH Domain. Its mandate is to support
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leaving space for biodiversity and ecosystem services” This interdisciplinary and transdisciplinary research project will explore how the built environment can be reimagined as an active component of urban