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-driven systems Demonstrated proficiency in at least one major programming language commonly used in AI/ML and scientific computing (e.g., Python), including use of modern software engineering practices
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pre-doctoral research fellow will work closely with one or more faculty whose research interests fall within the broad domain of development economics. The CIDER faculty can be found at https
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and/or experience conducting similar work • Proficiency in programming languages (Python, R) and database systems • Strong analytical and problem-solving skills • Ability to manage multiple projects and
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Required PhD in Computer Science, Animal Science, Agricultural Economics, or relevant field and/or experience conducting similar work Proficiency in programming languages (Python, R) and database systems
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, Agricultural Economics, or relevant field and/or experience conducting similar work Proficiency in programming languages (Python, R) and database systems Strong analytical and problem-solving skills Ability
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of education and experience. Experienced in machine learning and software development in research and production environments. Extensive Python experience, including knowledge of numpy, pandas, Tensorflow and/or
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community. Experience using analytics tools (such as Google Analytics and Firebase). Software engineering skills and working knowledge of programming web-based applications using technologies such as Python
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to drive informed, effective decisions is required. The ideal candidate will be fluent in using statistical coding languages such as Python, R and SQL to query large datasets from a data warehouse and create
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to evaluate program performance and inform improvements. Familiarity with data visualization tools such as Tableau (or similar) is required, with experience in SQL, Python, or other advanced analytics methods
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candidates welcome). Relevant experience: Up to 6 months of related or relevant experience. Coding skills: Knowledge of Python and use of (or the ability to quickly learn) RESTful APIs is required, and