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develop new algorithms where needed: this may include the incorporation of genomic or other omic data 2) An important second part of the post is helping to automate components of interpretation and
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comprehensive analysis of complex imaging mass spectrometry datasets (e.g., MALDI-MSI, DESI-MSI) using established computational frameworks Develop and implement novel algorithms and visual analytics for spatial
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. Qualification requirements Very good knowledge of Linux distributions Experience in installing and administering servers Competence in cluster management and software deployment Good proficiency in Python
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academic collaboration between multiple Swedish universities and distributed national research infrastructure with a distinct focus on health and environmental research (http://www.scilifelab.se ). The core
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developing data processing pipelines, such as Nextflow or similar systems. Computer clusters and distributed systems. Virtual environments, e.g., Docker or Apptainer. Methods for software deployment (e.g
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and distributed national research infrastructure with a distinct focus on health and environmental research (http://www.scilifelab.se/ ). The core mission of SciLifeLab is to provide technologies