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at time of start) PhD or equivalent international degree. Preferred qualifications PhD in physics or astrophysics field. Strong programming skills (e.g., Python) for scientific computing and simulation
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particularly encouraged. Advanced proficiency in the following coding languages: Proficiency in Coding Languages: R, Java, Python. Demonstrated experience with large and complex data sets. Demonstrated
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working with some languages, platforms, and environments to support interactive, computational research, such as Python, R, Jupyter, GitHub, and/or Unix Shell. Participation in The Carpentries or other data
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for phytoplankton in coastal ecosystems. Proficiency in R, Python, and code documentation/metadata creation. Experience with high-performance computing. Experience with time series and/or spatial analysis, and
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, grants). Expert at one or more analytical programming languages (MATLAB, R, Python, etc.) Track record of leading projects across institutions and fields for example working with clinicians
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scale imaging datasets (>100TB to petabyte scale and beyond) Expertise in programming in C++, Labview, MATLAB, Python Expertise in databases, data infrastructure, data governance Expertise in high