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applied statistics, data science, machine learning, text analysis, and familiarity with coding in R and/or Python. All applications must be submitted through Columbia University?s Academic Search and
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working with large datasets Proficiency in Excel and R, Python, or Stata Ability to synthesize and communicate complex findings Strong written, verbal, organizational, and project management skills Choose
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. 2 years of relevant experience. Certifications/Licenses Required Knowledge, Skills, and Abilities Advanced programming skills with SAS, SQL, Stata, R and/or Python. A strong command of Microsoft
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research Strong analytical skills, including proficiency in quantitative modelling, data analysis, and scientific computing (e.g., in R, Python) Strong written and verbal communication skills in English *for
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to institutional workflows by leveraging expertise in Python, Azure AI Foundry, and machine learning to build scalable, user-centric AI applications. The developer collaborates with cross-functional teams
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 3 months ago
Website https://jobs.inria.fr/public/classic/en/offres/2026-09697 Requirements Skills/Qualifications Technical skills and level required: Good skills in Python programming and/or C++ Good skills in Linux
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contributor in technology governance and long-term IT strategy. The full job description is available, here: https://www.dropbox.com/scl/fi/wsfq3tkylrvbj54db5aoi/Principal-SW-Engr-Final-updated-12-19-25.docx
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Independent way of working Basic programming skills (Python) advantageous Very good knowledge of German or English (at least B2 level according to the CEFR: https://go.fzj.de/languagerequirements ), ideally
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in one or more of the following programming languages/environments: Python, PyTorch (or similar), and experience with LLM frameworks (e.g., Hugging Face, LangChain) or data analysis tools. Hold a
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, machine learning and computer vision techniques, statistical data analysis, and Python programming. Activities will include field calibration and validation of models and data integration into a decision