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disease, idiopathic pulmonary fibrosis, cardiovascular disease, and atherosclerosis. Specific duties: Write Statistical Computer Programs with R or Python: R or Python: Enhance data visualization
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. Preference will be given to candidates proficient in design and development of a new optical instrumentation, FLIM, software development, especially with Java for ImageJ/Fiji, Python, LabVIEW, and MATLAB, and
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experience with MRI acquisition and reconstruction—particularly diffusion or dynamic imaging—is highly desirable, along with strong programming abilities in languages such as Python or MATLAB. Experience with
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in top-tier journals and external presentations is required. The candidate should also be proficient in R or Python, and SQL programming. APPLICATION PROCEDURE: Apply online at https://uva.wd1
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. Preferred Qualifications: Proficient in Python (or C/C++) & R programming. Strong quantitative background (e.g., statistical modeling, machine learning, computational or theoretical physics, etc
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or Python) Additional desired qualifications include experience working with large-scale multi-center studies; working knowledge of existing tools for genetic analysis and data management; C, C++ programming
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health record (EHR) integration Community partnership–driven research Responsibilities: Conduct statistical and computational analyses using R, Python, SAS, and/or SQL Support cloud-based analytics in
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science, computer science, or a related discipline is required by the start date. Candidates should have strong Python and geospatial-data analysis experience, demonstrated independent research ability, and
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expertise (e.g., predictive analytics, Python, SQL) Working with greater independence on complex analytical initiatives Minimum Qualifications Education: Bachelor’s degree in data science, analytics
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proficient in R or Python, and SQL programming. APPLICATION PROCEDURE: Apply online at https://uva.wd1.myworkdayjobs.com/UVAJobs and search for R0079651. Attach a cover letter, a detailed curriculum vitae, a