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publications. Creates database-to-deployment pipelines for models using the necessary programming languages (primarily R, Python, SQL, neo4j). Creates sustainable data science infrastructure and adheres to data
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address their ability and interest in teaching introductory information and data literacy courses in R (DCS 105), an introductory programming courses in Python (e.g. DCS 109D), and other additional upper
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applications (https://www.cbr.washington.edu/analysis) to perform statistical analyses relevant to fish, dam, water, and natural resource management. The Software Engineer will play a lead role in the
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familiar with Python, PHP, JavaScript, and shell scripting and bring a high degree of expertise in one or more of those languages. In addition, the candidate will demonstrate problem-solving ability
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familiar with Python, PHP, JavaScript, and shell scripting and bring a high degree of expertise in one or more of those languages. In addition, the candidate will demonstrate problem-solving ability
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will use programming and computational tools (including Python, MATLAB, and related libraries) to develop, test, and evaluate machine learning models; review, proofread, and execute formal mathematical
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databases (potentially using Python for scripting or CMS integration); gathering and documenting user requirements through user research and analytics; leveraging tools like Google Analytics 4, Siteimprove
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in algorithm development using Python and ML frameworks such as PyTorch or TensorFlow. Key Competencies Work independently, as well as within a team, to ensure proper operation and maintenance
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Sorbonne Université SIS (Sciences, Ingénierie, Santé) | Paris 15, le de France | France | 10 days ago
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. Proficient in Python, with working knowledge of bash and experience using HPC or cluster environments (e.g. SLURM). A pragmatic scientist who combines technical depth with a clear translational, goal‑oriented