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completion to deadlines. Develop scripts and data processing pipelines using R or Python, leveraging advanced expertise for data processing, model development, and data visualization. Work with senior staff
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general programming languages, such as R or Python, leveraging advanced expertise for data processing and visualization. Demonstrate proficiency with simulation model development and parameterization
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and conferences. Proven experience in design and implementation of deep learning algorithms. Outstanding programming skills in Python. Extensive experience working on one or more of the following areas
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desirable. Proficient in Python, R, and ML libraries such as PyTorch or TensorFlow. Strong communication and collaboration skills; ability to work independently and as part of a team. Willingness to respect
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issues. Provides supervision and mentorship to trainees and staff. Teach trainees how to use basic Python and R coding to perform beginner – intermediate level analyses. Present research findings to others
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author publication(s) in journals relevant in your field and/or shared as preprints Strong statistical foundation and expertise in R or python for data analysis Fluent in written and spoken English and
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degree of accuracy and attention to detail. It is preferred if the candidate has a university degree in a relevant discipline. Basic programming skills in MATLAB, Python or related language is valued.
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related to equity, diversity, and inclusion Preferred Qualifications Advanced knowledge of R, Python, or other coding language for public health analytics. Some knowledge of quantitative research methods
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combination of education and experience. Proven experience with data analysis, visualization tools (e.g., Python, R, Tableau), and working with healthcare datasets. Strong communication skills with the ability
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, Python and QGIS) at an intermediate level is preferred. Comfortable with learning new software and interested in developing data management skills.