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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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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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; 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 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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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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, in a controlled laboratory setting. This position will also actively perform to publish manuscripts and apply training grant, help PI for grant submission, and mentor junior research trainees including
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, in a controlled laboratory setting. This position will also actively perform to publish manuscripts and apply training grant, help PI for grant submission, and mentor junior research trainees including
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manuscript preparation; use graphics and statistical software to analyze and present data; search pertinent scientific literature as needed. Supervise other personnel in the laboratory; participate in training
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summarizing experiments and recording research data; maintain computer database of research data; tabulate and display data for presentation in research conferences and for manuscript preparation; use graphics
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Qualifications: · A Ph.D. or anticipated Ph.D. by Spring or Summer 2025 in Atmospheric Science, Public Health, Chemistry, Environmental Science/Engineering, or equivalent field with experience in analyzing large