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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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, and reproducible computational environments supporting large-scale analyses in Linux and HPC environments helping maintain and improve the group’s computational infrastructure collaborating closely with
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Linux command-line environment and on high performance computer clusters Excellent communication skills in both written and spoken English are required, as is ability to collaborate with scientists
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Linux command-line environment and on high performance computer clusters Excellent communication skills in both written and spoken English are required, as is ability to collaborate with scientists
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Linux command-line environment and on high performance computer clusters Excellent communication skills in both written and spoken English are required, as is ability to collaborate with scientists
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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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biology and genetics. Experience using Git for version control. Ability to quickly learn new skills. Experience working in a Unix/Linux environment. Excellent verbal and written English skills. We
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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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Linux-based environments Documented experience in documentation of ongoing work and code Documented experience using container and cloud technologies, for example Docker, Helm, or Kubernetes. Documented
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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