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skills, 4) familiarity with GNU/Linux environment. A good understanding of the basic concepts of Bioinformatics is not necessary but welcome. The project will consist in developing un-orthodox Neural
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and medium-scale computing environments (Linux, job schedulers, parallel computing). • Familiarity with data analysis, visualization, and handling large scientific datasets. • Ability to run, adapt
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programming (Dash, FLASK, geospatial python package), linux,relational databases/NOSQL Multivariate analysis (PCA, PLS, UMAP, tSNE, DBSCAN) and exploratory spatial data analysis Network and data sciences
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Skills/Qualifications Strong background in Operating Systems and Linux development Knowledge of memory management mechanisms and system-level programming Experience with Machine Learning models (design
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» AlgorithmsYears of Research ExperienceNone Additional Information Eligibility criteria Knowledge: - Operating systems, particularly Linux; - Virtualization of IT services; - Scripting and orchestration of IT
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processing and modelling • Rock mechanics, and inversion • Computation: Linux, Matlab or Python Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR6524-AUDCHA-035/Default.aspx Work
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particular of the GROMACS software. • Theoretical knowledge and experience with the Martini 3 force field is desirable. • Practical knowledge of the Linux operating system (including the basics of system
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and integration into the laboratory. Knowledge of ice dynamics models (knowledge of the GRISLI model is desirable) Good knowledge of the Linux/Unix work environment, good skill in Python, and in
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Biology, or a related field. Strong experience in bioinformatics and next-generation sequencing (NGS) analysis in a Cloud computing environment is essential. Proficiency in Linux/Unix and scripting