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, bioinformatics, statistical analysis, and data visualization. The Postdoctoral Research Scientist is expected to perform the aforementioned tasks under the guidance of the PI, provide preliminary analyses
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learning, predictive modeling, hypothesis testing, imputation, variable transformation techniques Supporting and performing exploratory data analysis and visualization Supporting and performing big data
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molecular, cellular, or quantitative biology. Experience with microscopy, image analysis, computational analysis, or data visualization preferred. Exposure to programming or analysis tools such as R, Python
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closed LinkedIn groups which may entail generating new information and guides, generating and posting audio and visual materials as well as posting information/documents provided by others
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estimate of the range of possible compensation at the time of posting. Position Summary The Data Science Institute (DSI) at Columbia University is a world-leading research and education institute advancing
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, PyTorch, or similar) ? Familiarity with NLP techniques and tools (spaCy, NLTK, Hugging Face, or similar) ? Knowledge of statistical analysis and data visualization ? Experience working with large datasets
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reviews, statistical data analysis, research summaries, and assisting with the design and implementation of research projects through survey design, participant management, training of research assistants
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(or similar systems) and ELM Resources is strongly preferred. Expertise in data analysis and visualization with large datasets. Practical knowledge of relational database structures. Strong proficiency in