117 parallel-processing-bioinformatics-"Multiple" positions at ETH Zurich in Switzerland
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Sprachauswahl FAQ de Stellenportal chevron_left Übersicht Partnerinserat chevron_left Übersicht Research Associate – AI-Driven Process Optimization for Smart Manufacturing 100%, Zurich, fixed-term
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extensively employs multiomics tools in projects involving these research areas to advance our understanding of biological processes. The Functional Genomics Center Zurich (FGCZ) is a joint core facility of ETH
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Consolidator project “Burgeon” aiming at understanding the connection between tectono-geomorphic processes and the origination of biodiversity. The Laboratory of Ecosystem and Landscape Evolution is an
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approaches to solve challenges in constitutive and process modeling. We bridge the gap between theoretical research and industrial applications through close collaborations with industry partners, applying
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, continuous integration). Adapt software for parallel computing, optimization workflows, and high-performance computing environments. Contribute to software deployment, testing, and benchmarking across multiple
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programming in Julia or a strong willingness to learn Strong English speaking and writing skills Able to work well in a team Heliosphere / plasma science, cosmic dust science, astrodynamics Parallel processing
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). The Bokulich laboratory develops bioinformatics methods and software for microbiome research, including QIIME 2, and applies these tools to study microbiomes at the interfaces of foods and human health. Job
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such data; hands-on experience in scaling up and/or parallelizing codes on HPC systems using languages such as e.g., C/C++, Fortran, Python; solid knowledge of parallel programming models (e.g., MPI, OpenMP
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professional ready to take ownership of key processes and tools? If this sounds like you, we have an exciting challenge for you! Join the ETH technology platform NEXUS and contribute to groundbreaking research
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. Within this field, we are continuously developing and adopting various algorithms for multiple applications such as automating quality control, detecting process deviations and finally predicting