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or data analysis Training & experience in econometrics and causal inference methods, particularly in the context of randomized controlled trials (RCTs) Proficiency in R, Python, Stata, or similar tools
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good knowledge of Python Experience with machine learning, in particular with neural networks and their implementation (PyTorch, TensorFlow or similar) Motivation and Initiative Residence in Berlin and
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of structured and unstructured data, web programming and high-level programming languages, Python or R programming language in particular. LanguagesPOLISHLevelMother Tongue LanguagesENGLISHLevelExcellent Internal
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modern machine learning models Strong programming skills in Python and experience building and maintaining research code Demonstrated ability to use modern AI-assisted and agentic coding tools effectively
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, and/or substantial open-source research contributions Demonstrated experience implementing, training, evaluating, or fine-tuning modern machine learning models Strong programming skills in Python and
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contributions Demonstrated experience implementing, training, evaluating, or fine-tuning modern machine learning models Strong programming skills in Python and experience building and maintaining research code
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. Experience using Python in a professional setting. Experience using data visualization tools (i.e. Tableau, Power BI or similar) Highly proficient in MS Office software with advanced knowledge of Excel. Strong
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ends 8/31/2026. Required Qualifications The person applying for this position should be proficient in Excel, Python or MATLAB. Desired Qualifications Training provided. Special Instructions to Applicants
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mechanics) with data-driven techniques. • Proficiency in Python (NumPy, TensorFlow/PyTorch) and MATLAB. • Familiarity with deep learning architectures, particularly recurrent neural networks (e.g., LSTM) and
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of Miami. Other potential undergraduate classes include Introduction to Python Programming - a requirement for the Rosenstiel BS - and Climate Change, a general education course. We are also considering