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                , the University’s Faculty Code recognizes faculty efforts in research, teaching and/or service that address diversity and equal opportunity as important contributions to a faculty member’s academic profile and 
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                /diversity-blueprint /). Additionally, the University’s Faculty Code recognizes faculty efforts in research, teaching and/or service that address diversity and equal opportunity as important contributions to a 
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                articulates that commitment in the UW Diversity Blueprint (http://www.washington.edu/diversity/diversity-blueprint /). Additionally, the University’s Faculty Code recognizes faculty efforts in research 
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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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                /diversity-blueprint /). Additionally, the University’s Faculty Code recognizes faculty efforts in research, teaching and/or service that address diversity and equal opportunity as important contributions to a 
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                student communities, and articulates that commitment in the UW Diversity Blueprint (http://www.washington.edu/diversity/diversity-blueprint /). Additionally, the University’s Faculty Code recognizes faculty 
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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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                that commitment in the UW Diversity Blueprint (http://www.washington.edu/diversity/diversity-blueprint /). Additionally, the University’s Faculty Code recognizes faculty efforts in research, teaching and/or service 
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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