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Field
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required regardless of the Ph.D. degree; Experience with programming (Python, Java, Javascript, PhP, and others) Training in behavioral science research methods and statistical analyses. Experience with
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related quantitative field. • Strong data analytic and programming skills in Python and/or R. • Proficiency in Unix/Linux systems. • Excellent writing and communication
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to have strong data analytic and programming skills in Python and/or R, as well as proficiency in Unix/Linux system. Review of applications will begin immediately and will continue until the position is
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to apply. Experience in computer programming (e.g., Matlab, Python), neuroinformatics, and/or advanced microscopy tools is plus, but not required. More details of the lab including publications can be found
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: Ph.D. in atmospheric science, meteorology, or climate science Proficiency in Python coding and visualization Familiarity with large reanalysis datasets Preferred Qualifications Work experience beyond
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, such as survey and sampling design and data analysis (in R or Python), meta-analysis and/or document/text analysis, or computational modeling *An interest in mixed-methods approaches, including also
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proficiency and working knowledge of database and reporting tools such as Microsoft Word, Excel and PowerPoint. Proficiency in R or Python is greatly appreciated. Researcher must have the ability to work
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programming languages such as C++, Fortran, Python, etc. Author or co-author of open literature publications Applicants cannot have received their Ph.D. more than five years prior to the date of application and
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, neuroscience, physiology, physics, or computer science · Be a proficient programmer and experience in Python, MATLAB, NEURON, COMSOL, and / or git are assets · Be familiar with neural biophysics and
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longitudinal data management and analysis Experience with research on adolescents and/or families Familiarity with Qualtrics, REDCap, R, Python, and/or other data collection and analytic tools Preferred