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train, benchmark, and develop deep learning architectures. They will work in high-performance computing environments and apply expertise in statistical mechanics, molecular dynamics, and physics. The
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high-performance computing (HPC) environments Understanding of reproducibility and good practices in scientific computing Basic experience with container technologies such as Docker or Singularity
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with workflow management systems such as Nextflow, Snakemake, or similar Experience with Git for version control and collaborative development Comfortable working in Linux/Unix and high-performance
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) using large-scale empirical data You have experience setting up Nextflow pipelines You have experience working in high-performance computing environments You have programming competence in R and/or
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large-scale empirical data You have experience setting up Nextflow pipelines You have experience working in high-performance computing environments You have programming competence in R and/or Python
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biological datasets • Experience working in high-performance computing environments • Experience running, adapting, maintaining and troubleshooting computational pipelines • Experience with Nextflow or a
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Computer skills Skilled with data analyses software (R/Python) Experience with using high performance computing clustersAdvanced MS Office experience Competences Curiosity and critical thinking Rigor