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Field
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of Python and experience with LINUX OS are mandatory. Experience with refraction seismology and inverse problems are a strong plus. Employment requirements: The successful candidate will have a Master degree
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field Two years of Python development experience, including scientific computing libraries (NumPy, pandas, scikit-learn). Proficiency with version control (Git), Unix/Linux environments, and command-line
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- Proficiency in English (written and oral) Know-how : - Experience in the design and the development of complex software within an international organisation - Very good knowledge in Unix (Mac OS or Linux
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experience with UNIX/Linux operating systems and command-line environments (e.g. Bash). Experience in machine learning & deep learning, database, and good understanding of high-performance computing hardware
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., Synology NAS, Linux HPC nodes) including network routing, backups, and remote access. Cloud and DevOps Engineering Use Firebase (Database, Cloud Functions, Cloud Messaging, Authentication, Analytics
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bioinformatics programming and high-performance computing environments, including Python, R, Linux-based workflows, and HPC/cloud platforms for reproducible pipeline development. Evidence of strong scholarly
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: Basic systems administration (Linux, user and permission management). Use and management of computing environments and job scheduling systems (e.g., Slurm or similar). Deployment and management
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(e.g., Bioconductor, Galaxy, KEGG, Reactome, STRING). Proficiency in Python, R, and Unix/Linux-based environments for high-performance data analysis. Knowledge of biological network inference, causal
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-related field required. Excellent communication and interpersonal skills. Must be proficient in Python, ESRI ArcGIS, SAS, Matlab, Javascript, Linux. Strong attention to detail and ability to multi-task
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, Hyper-V, and Proxmox systems Server Management: Installation and configuration of Windows Server (2019/2022), Active Directory, DNS, and Linux servers for honeypot testing Hardware: Data center