20 lecturer-in-software-engineering Postdoctoral positions at George Washington University
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research conferences and for manuscript preparation; use graphics and statistical software to analyze and present data; search pertinent scientific literature as needed. Supervise other personnel in
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across AI, incorporating insights from algorithm development, systems engineering and architecture, human psychology, sociology, law, science and technology studies, economics, and policy studies. Faculty
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across AI, incorporating insights from algorithm development, systems engineering and architecture, human psychology, sociology, law, science and technology studies, economics, and policy studies. Faculty
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; maintain computer database of research data; tabulate and display data for presentation in research conferences and for manuscript preparation; use graphics and statistical software to analyze and present
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initiatives . The Department of Engineering Management and Systems Engineering at The George Washington University is well known for its teaching and research accomplishments. The Department and the University
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critical challenges that arise at the intersection of digital technology, media and democracy, in turn informing sound policy solutions. IDDP is committed to supporting rigorous, evidence-based research
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abroad for short periods of time. Training of graduate and undergraduate students in the lab on the above-mentioned duties. Delivering guest lectures or short workshops for relevant courses and related
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critical challenges that arise at the intersection of digital technology, media and democracy, in turn informing sound policy solutions. IDDP is committed to supporting rigorous, evidence-based research
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initiatives . The postdoctoral position will be based in the Bioengineering Laboratory for Nanomedicine and Tissue Engineering at GW. The lab’s research integrates a range of interdisciplinary technologies and
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. Experience and training in longitudinal data analyses, particularly multi-level modeling and structural equation modeling. Proficiency in statistical analysis software (e.g., SPSS, R, MPlus, SAS). 2