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the research and education has a unique breadth, with large activities in classical scientific computing areas such as mathematical modeling, development and analysis of algorithms, scientific software
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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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of Pharmacy, Faculty of Pharmacy. The unit focuses on in vitro ADME (Absorption, Distribution, Metabolism, and Excretion), bioanalysis, and pharmacokinetic (PK) profiling during early drug discovery. More
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-scale datasets within biodiversity and evolution. Examples of such research include analyses within phylogenomics, metagenomics, image analysis and distributional data. Qualifications In order to qualify
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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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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
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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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, distributed across 15 units at Uppsala University and the Swedish University of Agricultural Sciences (SLU). The central hub of this network is Navet, located at the Biomedical Centre (BMC), which serves as a