11 parallel-computing "Computer Vision Center" positions at Centre for Genomic Regulation in Spain
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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
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version control and collaborative development Comfortable working in Linux/Unix and high-performance computing (HPC) environments Understanding of reproducibility and good practices in scientific computing
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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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computing (HPC) environments Understanding of reproducibility and good practices in scientific computing Basic experience with container technologies such as Docker or Singularity/Apptainer Experience
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generation and data analysis. About the lab The focus of Lehner lab is using massively parallel selection experiments to tackle the fundamental encoding problems of molecular biology. Towards this
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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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the CRG core units for metagenome sequencing. We have a long-standing collaboration with the NIDA Center of Excellence for Genetics, Genomics, and Epigenetics of Substance Use Disorders in Outbred
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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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(longitudinal behavioural analysis, population-based analysis in neuronal networks, gene expression patterns). We take advantage of computer modelling and bioinformatics analysis (gene networks, neuronal