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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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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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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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previous experience of the Spatial Transcriptomics method and data analysis as well as knowledge of the programming language R. The PhD student will be at KTH, Department of Gene Technology, SciLifeLab
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on: Technical Expertise: Documented skills in Python, Matlab, R, and a strong working knowledge of UNIX environments. Proven familiarity with biological omics data analysis techniques is essential, along with any
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neoantigen targeting. Substantial experience working in bash scripting and HPC Linux/Unix environment. Proficiency in programming (preferably Python, SQL, groovy, R, html, JavaScript, and bash). Good knowledge
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or development connected to infection biology, immunology or epidemiology Advanced integration of multiple layers of molecular data sets Programming knowledge in R and/or other programming languages
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and expertise will strengthen an application: proven experience with Unix command-line interface (CLI) and Bash scripting proficiency in a higher-order programming language like Python or R experience
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Python, R, Matlab, or another widely used language in data science. Strong communication skills, and proficiency in spoken and written English. We are looking for a candidate with a Master’s degree in
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strong publication record in relevant fields Proficiency in programming (e.g., R, Python, Bash) Effective communication in English is required for daily work. After the qualification requirements, great