59 coding-"Prof"-"Prof" Postdoctoral research jobs at University of Washington in United States
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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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the data repository and computer servers. Runs existing PET/MR brain image processing pipelines on the computer servers, produces the results, and communicates with the group members. Writes computer codes
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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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://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 equal opportunity as
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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