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multi-institutional partners to ensure protocol fidelity and reproducibility across sites Develop and maintain scalable, reproducible data pipelines using Python/MATLAB and relevant neuroinformatics tools
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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
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. Proficient in at least two programming languages, with SQL, and Python or JavaScript preferred. Familiarity with application development and exposure to PHP/CSS/HTML. Ability to read and write queries using a
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also include trouble shooting capabilities. Desirable skills include working knowledge of Linux, FORTRAN, Python and C++; experience with machine learning, parallel computing and high-performance
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engineering pipelines. Implement models in Python using frameworks such as PyTorch, TensorFlow. Perform statistical analyses and model benchmarking against existing methods. Collaborate with wet-lab scientists
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in the following qualifications: Software Engineering & Development - Object-Oriented Programming: Proficiency in OOP concepts with hands-on experience in languages such as Python, C/C++, Java, etc
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demand forecasting, classroom utilization, etc.). Build predictive and prescriptive models (e.g., risk scoring, enrollment forecasting, course section optimization) using R/Python; translate outputs
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to optimize data processing workflows, particularly for large-volume, high-dimensional healthcare datasets. Utilizes object-oriented programming (e.g., Python, Java) to develop modular, scalable research
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in maintaining data quality and data assurance by maintaining, building, and creating code scripts. Using tools like Python or R for data manipulation. Familiarity with tools like Git/Github
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, validate, and implement reproducible analytic pipelines for big data research using statistical software such as R, SAS, Stata, or Python. Conduct data extraction, cleaning, harmonization, and quality