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of large amounts of imaging data Communicate with other data generating platforms within the SciLifeLabs Integrated Data Service program Collaborate with national high-performance computing (HPC) resources
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. Singularity, Docker). Experience working in HPC environments, preferably with SLURM. Knowledge of version control (Git). Excellent English skills, both spoken and written. Meriting experience: PhD in
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neural networks Documented experience with image analysis Strong competence in Python programming and Linux/HPC environments Prior experience of virtualization and software development Good social skills
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, e.g git. Experience of Linux/UNIX-terminal. Excellent communication- and collaboration skills. You speak and write English fluently. Meriting Experience of HPC or corresponding computer systems
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of projects could also be included. Work can include, but is not limited to, development of pipelines in Nextflow or Snakemake, scripting in Python and/or R, and running large-scale analyses efficiently in HPC
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written. We place great emphasis on personal suitability. Additional qualifications It is considered advantageous if the candidate has documented experience in: Working with high-performance computing (HPC
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). Particular emphasis is placed on HPC-supported computing of sequencing data into assembled transcripts (de novo assembly is a frequent need), and further downstream translation of the ORFs of said transcripts