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hydraulic modeling. 80% research - The project focuses on developing theoretical models using optimization to improve understanding of plant stomatal regulation at the leaf, plant, and ecosystem scales. 20
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experiments using gene-edited hematopoietic stem/progenitor cells Develop and optimize gene editing protocols for ELANE for therapeutic use Evaluate safety, efficacy, leukemogenicity and off-target effects
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following requirements: PhD in chemical sciences, biological sciences or materials engineering.Obtaining a doctoral degree within maximum 7 years from the announcement of the competition. They fulfilled
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 12 days ago
professionalism, enhance learning, and create personal and professional sustainability. We optimize our partnership with the UNC Health System through close collaboration and commitment to service. OUR VISION Our
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studies: Trauma Intervention to Optimize PrEP Among Women Who Inject Drugs (TIARAS) is a randomized controlled trial is to test the effectiveness of a trauma intervention designed to reduce HIV acquisition
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, troubleshooting and routine upkeep Develop, optimize and validate sample-preparation and data-analysis workflows for spatial metabolomics, lipidomics and multimodal studies Act as contact for internal and external
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characterization and optimization Development and operation of continuous fermentation processes under strict anaerobic conditions Strategic contribution to platform development for metabolic engineering What you
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Internal Number: JR89928 Position Summary This position will primarily support the implementation of a newly funded National Institute of Mental Health R01 grant focused on optimizing a digital chatbot
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We invite applications for a Postdoctoral Appointee to contribute to a growing research program in process systems modeling and optimization for clean energy, critical materials, and advanced
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project. The overarching aim of this project is in the development of new knowledge and a new framework to facilitate the optimal design and life-long adaptation of civil infrastructure systems