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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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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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, 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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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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have a passion for multidisciplinary research and (i) expertise in EEG acquisition, signal processing and data analysis (ii) experience coding, preferably with Python (iii
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, including any previous postdoctoral experiences. Each applicant will be expected to submit: A CV including demonstrated scholarly output (e.g., publications, presentations, data analysis, code) Cover letter
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learning from computer science or related areas and be proficient in Java, C, and Python programming. Familiarity with the source code of major open source machine learning software packages such as Weka
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-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 faculty
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Blueprint (http://www.washington.edu/diversity/diversity-blueprint /). Additionally, the University’s Faculty Code recognizes faculty efforts in research, teaching and/or service that address diversity and
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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