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available datasets to interpret results in a robust biological context Ensure reproducibility, data management, and documentation of computational workflows in high-performance computing environments
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publicly available datasets to interpret results in a robust biological context Ensure reproducibility, data management, and documentation of computational workflows in high-performance computing
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research environment (e. g., academic research group, core facility, company) Strong programming and data analysis skills, with demonstrated expertise in Python and scientific computing ecosystems
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digital linguistics, digital heritage, and AI/machine learning. Thanks to its close ties with the Interdisciplinary Center for Scientific Computing (IWR), the HCDH pursues the computational humanities
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prototyping & technologies such as stereolithography, two-photon printing or nano-imprint lithography is highly desirable Experience with scientific computing and optimization frameworks (e.g
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Familiarity with cloud or HPC computing environments and workflow deployment Experience in scientific publishing, collaborative software development and/or working within a Core Facility or similar