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computational fluid dynamics, quantum computing and high-performance scientific computing, and to engage with researchers from both academia and industry. You will have substantial scientific independence
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training ecosystem for High-Performance Computing (HPC) and emerging technologies. Funded by the EuroHPC Joint Undertaking, EVITA brings together leading universities, research institutions
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calculations will be performed using ETH Zurich’s high-performance computing infrastructure. In addition to research, the doctoral candidate will contribute to general laboratory activities and will have
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cell- and module level. Particular emphasis will be placed on leveraging modern heterogeneous computing architectures to enable large-scale, high-fidelity reacting-flow simulations. The models developed
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focusing on: Next-generation energy storage systems Power converter design for Power-to-X (PtX) solutions Microgrid applications Quantum computing in power systems And other emerging technologies in
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with high-performance computing (Slurm/PBS or equivalent) and/or cloud computing platforms. Working knowledge of at least one of: GWAS, Mendelian randomization, fine-mapping, colocalization, polygenic
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accounting. Our aim is to deliver high-quality research, with a strong emphasis on publishing in leading academic journals and presenting at recognised conferences. You can read more about the Department
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experience with R and/or Python language, bash shell environment, high performance computing, next-generation sequencing data analysis, and single-cell analysis workflows 2 – Communication and team work
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-performance computing, teaching experience or familiarity with experimental biophysics. For further information please refer to the attached PD. What we offer you! We offer the opportunity to be part of a