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, global health, and artificial intelligence-assisted systems modeling. More information about the lab and its projects is available at https://gyorilab.github.io. About Khoury College We invite you to join
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and data collection – 20% - Assist with experimental design and treatment development. - Support field research activities, data collection, and quality control. - Introduce novel data collection
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assistance status, veteran status, sexual orientation, gender identity, or gender expression. To learn more about diversity at the U: http://diversity.umn.edu Employment Requirements Any offer of employment
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safety, pharmacoeconomic and cost-effectiveness outcomes, budget impact, organisational and social considerations, and ethical and legal issues. The findings will help inform clinical, policy and
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NNF-synergy project MEVIN (Milk Extracellular Vesicles for Preterm Infants). You will contribute to the biochemical and functional characterization of milk-derived extracellular vesicles (EVs) as a
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for complex geological properties. Collection of geochemical and petrological reference data to train models is an equally important component of this task. The post will involve spectral, petrophysical, and
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into a book, this is not one of them. The Postdoctoral Associate should be prepared to put their dissertation project on the backburner and dive into new data collection. Dr. boyd’s philosophy is that
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on one or more challenging research projects in the lab of Assistant Professor Petter S. Woll. The research project will be focused on delineating the intracellular redistribution of subcellular and
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research manuscripts • Write and clearly document research code to clean, maintain, and analyze datasets • Manage data-related aspects of research projects • Lead and assist with the development of research
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 16 hours ago
Hill seeks a computational postdoctoral researcher to develop and apply methods for integrating single-cell sequencing and imaging data within controlled cell-line model systems. The project focuses