43 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" research jobs at Wayne State University
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of storing, processing, and retrieving information in acoustic waves that complement conventional quantum technologies. For more information about the research/project, please see: New Frontiers of Sound
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Wayne State University is searching for an experienced Research Assistant (Data Entry) - Department of Women's Health at its Detroit campus location. Wayne State is a premier, public, urban research
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staff. Monitor data collection progress and call dispositions, and provide regular updates to project leads and leadership. Work a flexible schedule between the hours of 8:30am-9:30pm, including one
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with principal investigator and Postdoctoral scholars/fellows on the status of research. Collect and log laboratory results, clinical outcomes and/or survey data. Evaluate and perform data analysis
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directed through training in more difficult or specialized procedures to meet the needs of the research protocol. Essential Functions: Review and monitor research databases compared to original data create
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investigator and Postdoctoral scholars/fellows on the status of research. Collect and log laboratory results, clinical outcomes and/or survey data. Evaluate and perform data analysis using graphs, charts
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research experience and career goals, and contact information for 3 references to amosz@wayne.edu .
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. Communicate with principal investigator and Postdoctoral scholars/fellows on the status of research. Collect and log laboratory results, clinical outcomes and/or survey data. Evaluate and perform data analysis
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. Communicate with principal investigator and Postdoctoral scholars/fellows on the status of research. Collect and log laboratory results, clinical outcomes and/or survey data. Evaluate and perform data analysis
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. Communicate with principal investigator and Postdoctoral scholars/fellows on the status of research. Collect and log laboratory results, clinical outcomes and/or survey data. Evaluate and perform data analysis