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to extract structural and energetic insights Familiarity with assembling complex molecular systems and integrating heterogeneous data sources Solid knowledge of Linux environments, including experience with
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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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experiments Desirable: • Backend development (Python, Ruby, …) • Linux system administration (deployment, networking) • Experience with decentralized/self-hosted services, e.g. Mastodon, Nextcloud, Matrix
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://github.com/open-sdr/openwifi ). You are also encouraged to design higher networking layer functionality and driver in Linux environment, to fully exploit the distributed MIMO and coordinated multi-AP feature
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of Unix systems (GNU Linux) and keen to gain hands-on experience in Networks and systems Machine Learning knowledge is a plus Strong analytical and programming skills are required (Python, Matlab, Golang
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University of Applied Sciences in Nowy Sacz (Akademia Nauk Stosowanych w Nowym Sączu) | Poland | 3 months ago
/2026 academic year, • Teaching classes in operating systems, IT security, penetration testing, and Linux system administration, • Organizational work for the University of Applied Sciences in Nowy Sącz
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attitude. We consider it a plus if you bring the following: experience with microscopy and molecular biology techniques; programming skills (e.g. good command of R, basic command of Linux); affinity with
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; additional experience in one or more of the following areas is highly desirable: stochastic simulations quantitative genetics breeding programs working with Linux and HPC systems For this position your command
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is highly desirable: big data analytics quantitative genetics variance component estimation working with Linux and HPC systems For this position your command of the English language is expected to be
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skills in Python and/or R; experience with Linux/HPC environments is an advantage Experience with genomic data analysis, high-performance computing, GPU programming, or software development is a plus