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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 14 hours ago
Posting Information Posting Details Department Envir Sciences and Engineering - 463001 Posting Open Date 07/21/2025 Application Deadline 08/12/2025 Open Until Filled No Position Type Postdoctoral
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understand the molecular mechanisms of host factors and viral determinants that enhance Coronavirus zoonosis. Traditional molecular virology skills and the ability to generate hypotheses are required. Work
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values and who will support the mission of the university through their work. Qualifications: PhD in Mechanical Engineering, Chemical Engineering, Materials Science, Electrical Engineering, Chemistry or
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regulation of nuclear xenobiotic receptors, (2) the mechanism of selective modulation of highly homologous drug-metabolizing enzymes. We are taking a hypothesis-driven and technology-enabled multidisciplinary
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modulation of highly homologous drug-metabolizing enzymes. We are taking a hypothesis-driven and technology-enabled multidisciplinary approach to develop chemical probes and investigate biological mechanisms
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is typically achieved through a formal education in chemical engineering, chemistry, materials science, nuclear engineering, mechanical engineering, or related field at the PhD degree level with zero
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, Information Science, Mechanical Engineering, Human-Computer Interaction, Textile Engineering, Fiber Science and Apparel Design, or related field. Proof that all PhD requirements have been fulfilled before
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Duke University, Mechanical Engineering and Materials Science Position ID: Duke -MEMS -PDARYA [#30136] Position Title: Position Location: Durham, North Carolina 27701, United States of America [map
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activities, including the submission of new grant applications, related to their work. Required Education: PhD in Engineering Biomechanics, Engineering Mechanics or related field Required Experience: Computer
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and publications. Required Qualifications • PhD in Mathematics, Engineering, or a related field with a background in statistical and mathematical modeling. PhD must be awarded no more than four years