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at American University, please log into your employee Workday account and select the Find Jobs report which will take you to our internal career listings. Applying outside of your employee Workday
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Parsing Develop, monitor, debug, and modify web scrapers using Python packages, such as Selenium. Create .CSV files by parsing scraped information using Python packages, such as Beautiful Soup. Develop
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programs such as Stata/Matlab/Python/R; and conducting background research, writing summaries and research reports. The Research Specialist will support research on projects about housing and mortgage
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modify web scrapers using Python packages, such as Selenium. Create .CSV files by parsing scraped information using Python packages, such as Beautiful Soup. Develop strategies to evaluate the content and
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start and end dates during which you would be available to fill this position Your familiarity with programming languages (e.g. Stata, Python, R) Your prior experience as a research assistant, in the
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include: -Other experience in mass spectrometry -Strong statistical and analytical experience with data treatment -Coding experience in either R or Python -Other experience in analytical chemistry and/or
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languages such as Python, and experience with deep learning frameworks like TensorFlow, PyTorch, or JAX. In-depth understanding of transformer architectures, attention mechanisms, and fine tuning techniques
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the data resource and provide powerful predictive insights into structure-property relationships. The PDRA will also produce python code for advanced scientific data processing. This will then be implemented
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experience with MATLAB, Python, or equivalent programming languages and will have a strong publication record in the field of working memory or a related area. Terms of employment include competitive salary
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, United States of America [map ] Appl Deadline: (posted 2025/10/06, listed until 2026/04/06) Position Description: Apply Position Description Duke University Department of Biostatistics and Bioinformatics is seeking a highly