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, FDR estimation, etc. Knowledge of statistical and quantitative methods for protein and peptide level analysis, including normalization, missing-value handling, differential quantification, clustering
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: Experience combining proteomics with genomic/transcriptomic data Specialized knowledge: Understanding of peptide-spectrum matching, FDR estimation, protein inference AI/ML proficiency: Experience with machine
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visualization for MS-based proteomics datasets. Knowledge of website building (on Django, Rshiny, etc.) Specialized knowledge in MS-based proteomics: understanding of peptide-spectrum matching, FDR estimation
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bioinformatic methods to detect environmental adaptation. The methods will be tested using simulations of genomic data. The work consists of working in Uppsala University’s computer cluster as well as programming
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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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, 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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competitive level. Proficiency in a scripting language like R or Python, as well as ability to work efficiently in a Linux command-line environment and on high performance computer clusters. Excellent
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maintenance of instruments and computer systems, as well as assisting researchers in preparation of EM samples, data collection, and image analysis. You will also act as a coordinator for ongoing facility
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maintenance of instruments and computer systems, as well as assisting researchers in preparation of EM samples, data collection, and image analysis. You will also act as a coordinator for ongoing facility
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competitive level Proficiency in a scripting language like R or Python, as well as ability to work efficiently in a Linux command-line environment and on high performance computer clusters Excellent