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control systems for collaborative development Programming skills in Python for geospatial applications and data processing Professional Skills Strong visual communication skills for presenting geospatial
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: developing automation workflows using scripting languages (e.g., Python, PowerShell) and applying machine learning techniques for system administration tasks such as predictive maintenance, backups
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desired. • An excellent track record, as evidenced by first-author publications and conference presentations. • Knowledge of programming languages, such as MATLAB or Python, and statistical software
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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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or more application build & deployment methods commonly used with a language such as Ruby, Python, Java, NodeJS, or PHP. Experience with a systems monitoring & reporting tool such as Zabbix, Splunk, AWS
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combination of related education and work experience equal to 4 years Experience and/or coursework using GIS and spatial data Experience and/or coursework in both R and Python programming Experience with one
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experience to equal at least four years. Proficiency with R, Python, shell scripting, and workflow management tools (e.g., Conda, Singularity). Familiarity with Linux/Unix operating systems. Strong
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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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, or a related technical field. ● Strong programming skills in Python, Java, etc. ● Expertise in machine learning, neural networks, and deep learning ● Excellent writing and communication skills ● Highly
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work experience to equal at least 8 years. • Experience in computer programming (esp. Java, R, and/or Python) • Strong problem solving skills • Excellent attention to detail • Excellent written and oral