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languages (e.g., Python). Experience with workflow automation, AI agent development, enterprise platforms (e.g., Microsoft Copilot), testing/QA, and documentation for production-ready solutions is highly
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. Required knowledge Strong background in machine/deep learning, computer vision, or applied statistics. Solid programming skills in Python and experience with deep learning frameworks (e.g., PyTorch
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, write Python workflows and connectors when needed, and guide the evolution of automation systems as we build this new capability from scratch. The focus is on architecture, problem-solving, and technical
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lead to a PhD position at SPMS in NTU Singapore (based on performance). Key Responsibilities: Contribute to the development of algorithms Develop codebase in Python and perform large-scale simulations
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motivated Student Data Analyst Assistant to support faculty members and data analysts with healthcare data analysis. Position Requirements: - Highly proficient in SQL - Moderately proficient in Python
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.) Data analysis and statistics (R, Python) Qualified applicants should send their CV, a statement of research interests and the contact information of two referees before March 9 to david.bikard@pasteur.fr
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submission of a manuscript for publication. Basic Qualifications Bachelor’s degree in computer science or closely related field Additional Qualifications Proficiency in programming languages (R, Python, Java
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teams. - 20% Python Scripting: Uses Python to integrate, transform, and manipulate data from multiple internal and external data sources in support of analytics and reporting initiatives. Develops and
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genomics data, writing Python code for data analysis, and a downstream R pipeline for post-processing data using standard Bioinformatics libraries from Bioconductor. There will be opportunities
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Python and the Flask framework to support data access, visualization, and interactivity; (iii) designing, maintaining, and documenting robust back-end systems for indexing and retrieval of complex datasets