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programming in C/C++, preferably also Rust, and of POSIX, the Linux/Unix kernel or RTOS. Documented competence in parallel and distributed systems, including GPU programming (e.g. CUDA). Ability to explain
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of neurodegenerative disease Familiarity with git and GitHub Competence using Linux-based high-performance parallel computing systems Other information This is a special fixed-term position (SÄVA) of 6 months, 100
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storage. This role suits someone with a strong background in Linux and infrastructure who enjoys working at the intersection of HPC, DevOps, and modern platform operations. You will combine operational work
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services Solid grounding in collecting, processing, and structuring data for AI workflows Experience with Linux-based system administration Programming experience, including shell scripting, Python, and
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epigenetics, methylation analyses, olink-proteomics. Shot-gun-proteomis, and you should have knowledge and experience using both R and Linux-based pipelines, and be good in bioformatics and data analyses. You
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Linux kernel experience. are meriting. Consideration will be given to good collaborative skills, drive and independence, and how the applicant,through experience and skills, is deemed to have the
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them, and interpreted the output. You are comfortable on the Linux command line, on HPC clusters, and with scripting (Python or equivalent). You have the independence, and the stubbornness, to pursue a
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control with Git, typesetting with LaTeX, use of Linux computers; Experience with convolution and transformer-based neural networks for image analysis; Experience with graph-based methods, and graph
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circumstances, as well as clinical service or service/assignment relevant to the subject area. Assessment criteria Good programming skills and linux/unix experience is a requirement. Knowledge of Matlab or R is
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variant analysis, ideally in plants -genotype-environment association (GEA/EAA) or GWAS -programming in Python, with extensive experience working in Linux and multiple HPC environments. -population genomics