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responsibilities may include: Development or analysis of novel Machine Learning algorithms for engineering design applications, such as Inverse Design, Surrogate Modeling, or generative modeling. Collaborating with
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), and HPC schedulers. Profile The ideal candidate will have at least a PhD or equivalent in Bioinformatics, Computational Biology, Computer Science, Applied Statistics or a related field. The candidate
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Prevalence of Life by attending events therein. NOMIS-ETH Fellows are actively involved in NOMIS events and activities (as their schedule permits) and establish independent research ties with other members
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