17 exercise-"https:"-"ESPCI-Paris---PSL" Postdoctoral positions at George Washington University
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fulfilled all requirements for the award of a PhD or equivalent qualification in a relevant field by the date of employment. Desired Qualifications: Mandatory (M), recommended®, and ideal-but-not-necessary (I
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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
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internal use. Present research findings at team meetings, collaborator meetings, and scientific conferences. Assist in preparation of progress reports and deliverables for funding agencies. Collaboration
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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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Associate for Dr. Maggirwar’s laboratory. Dr. Maggirwar’s laboratory focuses on the vascular complications associated with HIV-1 infection. Our goal is to use the immune cells isolated from the blood samples
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, persuasion and political psychology. The applicant will be intimately familiar with sophisticated analytic tools and will have a demonstrated record of their use. This position is located at GW’s Foggy Bottom
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of employment. Desired Qualifications: Skills: A demonstrable understanding of critical minerals recovery and circular economy Prior research experience in the design, synthesis, and characterization
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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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initiatives . The George Washington University and The NSF Institute for Trustworthy AI in Law and Society (TRAILS) aims to transform the practice of AI from one driven primarily by technological innovation
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initiatives . The George Washington University and The NSF Institute for Trustworthy AI in Law and Society (TRAILS) aims to transform the practice of AI from one driven primarily by technological innovation