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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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; adapt new procedures, methods or instrumentation relative to research procedures. ● Collect, prepare and analyze research data; keep a detailed notebook summarizing experiments and recording research data
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; adapt new procedures, methods or instrumentation relative to research procedures. ● Collect, prepare and analyze research data; keep a detailed notebook summarizing experiments and recording research data
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, publish results, attend conferences and meetings, and develop new theories and methodologies. The position may also involve leading and directing the work of lower level research staff. Postdocs will design
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at conferences and meetings, and may develop new theories and methodologies. This role can expect timely advice as to research directions and career planning for a future independent career. The Postdoctoral
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, visiting scholars, and PhDs in residence. Application Procedure: To apply please complete an online application and upload a cover letter, curriculum vitae, statement of research interest, samples of written
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Qualifications Desired Qualifications: PhD in Decision Science, Economics, Engineering, or related field Research experience in analyzing survey data related to electric vehicles Experience with data analysis
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behavioral data. The position requires a PhD in anthropology, biology, neuroscience, genetics, or a related field, and expertise in neuroscience techniques, image analysis, bioinformatics, or neuroanatomical
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, teaching excellence, innovative curricula, and focus on the responsible management of organizations in the global environment. The Department of Decision Sciences comprises the disciplines of operations
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biology of fishes and work together with the PI (Orti) and graduate students. Required qualifications include a completed PhD and expertise in molecular systematics, comparative phylogenetic methods