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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 29 days ago
decision-making about tobacco products. The specific project the postdoc will work on uses microsimulation modeling to estimate the public health impact of a ban on flavored cigars in different plausible
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of Chemical and Biological Engineering Posting Number R260133 Posting Link https://www.ubjobs.buffalo.edu/postings/64055 Employer Research Foundation Position Type RF Professional Job Type Full-Time Appointment
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microbial inhibition models Model-based data processing Excellence in both written and spoken English You will be working in the research group “Microbial Conversion Technologies” as part of the Dept
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datasets and validating numerical models developed within the laboratory. 2.2 Responsibilities The successful postdoctoral researcher will join a research team developing a unique experimental platform at
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physiology, animal models of cancer and cachexia, imaging, histological analyses, and other mechanistic or translational approaches. · Contribute to the development, optimization, and validation
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on modelling, optimization, control, and AI applications for smart buildings. The work includes collaboration with international research and industrial partners, publication of scientific articles, and
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utilizing animal models and the downstream isolation and analysis of immune cells using a variety of techniques including, but not limited to, flow cytometry, ELISA, RT-PCR, bulk and single cell RNA
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for a short-term 2.5-month postdoctoral position (full-time) focused on developing and validating machine learning models that predict soil health and crop performance. The position will exploit datasets
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). This would be expected to include independently performing experiments utilizing animal models and the downstream isolation and analysis of immune cells using a variety of techniques including, but not limited
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on animal models (preterm pigs) and clinical studies, contributing to the translation of milk EV biology into nutritional interventions for preterm infants, as well as preparation of data for high-quality