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. This position is a combination of service and applied research and may include preparing confidential reports for the Gates Foundation, public research briefs and literature reviews, public coding syntax files
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not have exceeded two years previous work at the postdoctoral level at start of appointment. Coding experience in a scientific computing language is desirable (e.g., Python, MATLAB, R, IDL, Fortran, etc
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variety of experimental data, utilize different model structures/modeling techniques, are often closed source or coded in proprietary software packages with poor interoperability, and process experimental
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applicant will be expected to submit: A CV including demonstrated scholarly output (e.g., publications, presentations, data analysis, code) Cover letter or research alignment statement to include current
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. Familiarity with the source code of major open source machine learning software packages such as Weka, Tensorflow, and PyTorch is a plus. Instructions Applications should consist of a cover letter, curriculum
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processing and data analysis (ii) experience coding, preferably with Python (iii) experience in child development research, particularly early language acquisition, social interaction