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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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of forest traits and uncertainties. Where to apply Website https://app.skeeled.com/s/J33VQevN Requirements Research FieldEnvironmental science » Earth scienceEducation LevelPhD or equivalent Skills
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, or interaction for robotic systems Deep learning or applied machine learning for robotics Practical experience with robotic hardware, software development (e.g., Python, ROS, PyTorch, TensorFlow), and AI-based
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, including branching strategies, pull requests, and documentation-as-code. Ensure all analytical scripts (SQL, R, Python) are versioned, audited, and recoverable. Implement CI/CD (Continuous Integration
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data analysis using software Experience in R and python is a plus but not mandatory Good presentation and writing skills Proactive, independent, and solution-oriented way of working Fluent English
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of Career Development is committed to inclusive excellence, and we encourage applicants from distinct backgrounds. Learn more about our office, here: https://www.american.edu/sis/career/. Applicants
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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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develop tools for ingesting, transforming, and integrating large, heterogeneous microscopy image datasets—including writing production-quality Python code to parse, validate, and transform microscopy data
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, computer science or a related field. 2. Proficient MATLAB, Python and/or R programming and data visualization experiences. Preferred Skills and Abilities 1. Previous experience with human scalp / icEEG
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an undergraduate – is an advantage. Some knowledge of programming in, for example, R, Python, Stata is also helpful. Why work with us? London Business School is one of the world’s elite business