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of computational pipelines for TCR prediction. Working with datasets derived from tumor samples and immunological assays. Running analyses on high-performance computing systems using Linux-based environments and
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position at Lund University! National Bioinformatics Infrastructure Sweden (NBIS; https://nbis.se ) is a large national infrastructure in rapid development providing support, tools and training
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bioinformatician position at Lund University! National Bioinformatics Infrastructure Sweden (NBIS; https://nbis.se) is a large national infrastructure in rapid development providing support, tools and training
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linux/unix experience is a requirement. Knowledge of Matlab or R is also highly desired. Previous experience with analysis of next-generation sequencing data is recommended. While not required, experience
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services can be found at: https://www.uu.se/forskning/snpseq and https://ngisweden.scilifelab.se/ We are proud to deliver high-quality data and are accredited by SWEDAC as a testing laboratory under the ISO
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with (remote) GNU/Linux systems. It is strongly advantageous if you have excellent study results and a strong background in mathematics. You are skilled at implementing new models and algorithms in a
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. Required competencies: Strong background in bioinformatics (e.g., R, Linux, Python). Experience working with large cohorts and high-dimensional data. Experience with microbiome analysis and/or GWAS
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before the fellowship decision date. Documented experience in research projects within the scope of the awarded degree. Required competencies: Strong background in bioinformatics (e.g., R, Linux, Python
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(git), and are comfortable working with (remote) GNU/Linux systems. It is strongly advantageous if you have excellent study results and a strong background in mathematics. You are skilled at implementing
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in Linux/HPC environments Ability to conduct independent research and publish in peer-reviewed journals Strong written and verbal communication skills in English The following experience will