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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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and membrane protein complexes • Familiarity with Linux, MATLAB, Python, or other computational tools is a plus This position provides an excellent opportunity to work on high-resolution structural
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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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(git, testing). Comfortable with Linux/HPC environments. Nice-to-have: Experience with equivariant GNNs (e.g., E(3)-equivariance), MACE or related message-passing models. Familiarity with Wannierisation
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organizational infrastructure and they must be able to maintain the security and integrity of the infrastructure related to this role. Knowledge, Skills and Abilities R programming, Linux/Unix-based operations
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including code design, documentation and testing. Familiarity with optimization methods including Machine Learning (ML) techniques. Any experience with computations on GPUs. Working knowledge of Linux command
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proficiency in Python and/or R; familiarity with working in a Linux/Unix environment; fluency in English (both written and spoken); excellent communication and teamwork skills in an interdisciplinary
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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