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environment with a wide network of collaborators, generous support for conference travel, and access to national HPC resources (NAISS) and local GPU infrastructure. This Postdoc position is part of the
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– Erfarenhet av funktionsinferens (t.ex. inferering av klonalitet) – Erfarenhet av projektledning – Erfarenhet av HPC, parallellisering och hantering av stora datamängder Om anställningen
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. Erfarenhet av programmering i R och/eller Python samt Bash och arbete i HPC-miljöer med arbetsflödeshanterare såsom Snakemake eller Nextflow. Erfarenhet av analys av encellsgenomiska data från pankreas
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reproducible code by using code sharing platforms, version control, workflow languages and container solutions is a merit. Experience in training deep learning-based models on HPC-resources is also meriting. A
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extensive training and resources in computational science, including high-performance computing (HPC) clusters. For more information about the DDLS program, see here. The employment In connection with
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quantitative image analysis. Experience programming in Python and Bash and working in HPC environments using workflow managers such as Snakemake or Nextflow. Experience in the analysis of pancreatic islet or
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integrative multi-omics data, such as genomics, proteomics, or metabolomics. Experience with relevant machine-learning frameworks, such as PyTorch, and high-performance computing (HPC) environments