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candidate will have knowledge in programming, preferably in Python, experience working in a Unix environment. They will be motivated, organized, and will work under supervision to help the investigator
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BA/BS in Astrophysics, Physics, or Computer Science Preferred Qualifications Experience with Python, and hands-on work with telescopes About the Department School of Physics and Astronomy: https
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, in both supervised and unsupervised paradigms. Almost all of our analyses involve frequency-domain (Fourier/wavelet and related transform) analysis. The current codebase is a mixture of Python, R, and
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. The successful candidate will have knowledge in programming, preferably in Python, experience working in a Unix environment. They will be independent, motivated, and highly organized and will help the investigator
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publish high-quality scientific work. Preferred Qualifications: • Experience working with large data sets (Big data). • Experience with Python, Julia, R, C++, and/or other programming languages
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their data needs and objectives. • Perform data analysis and generate reports as needed. • Stay current with data analysis tools and techniques, particularly in R, Python, and SAS. • Helping prepare materials
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the following software, languages, and tools: R, Python, ESRI suite, QGIS, Pix4D, IFTDSS ● Prior professional experience in educational or community-focused environments where science communication is a part of
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, Computer Science, Computational Biology, Bioinformatics or a combination of related education and work experience to equal four years. - Experience in Python, Rust, R or other common programming languages (e.g., C/C
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assist with rodent experiments as needed. Some nights and weekends may be required. A breakdown of time would include the following: Data science and programming (60%): Build analysis codes in Python
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on clinical text analysis. Annotate, clean, and preprocess clinical notes and other healthcare-related text using Python or NLP toolkits Assist in building, fine-tuning, and evaluating NLP models for tasks