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software such as QGIS, ArcGIS, or similar tools Programming experience for handling large datasets, including spatial datasets Linux or Ubuntu server maintenance, and deployment of data services or tools We
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ideally be familiar with the UNIX environment (e.g., Linux). It will be desirable to have had previous experience in genetics, but not necessary. The applicants must be fluent in English, both oral and in
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complete, a master’s degree in computer science, mathematics, statistics, IT, engineering, biotechnology, bioinformatics, economics, or a related field. Experience with programming in Linux environments
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, Bash). Experience working in a Unix/Linux environment, including setting up and managing High Performance Computing (HPC) clusters. Familiarity with metagenomic data analysis and machine learning
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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