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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
modeling, immunology, bioengineering, or closely related disciplines. The primary focus is to advance in vivo engineering of immune cells for cancer, auto-immune and/or infectious disease applications, with
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for workers in hazardous recycling manufacturing environments, embedding participatory co-design, digital twin modelling, and mixed-reality training to shift from machine-centric to human-inclusive workplaces
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, including time series analysis Record of mentoring or developing junior employees on soft and technical skills Advanced experience developing code in Python and R, and familiarity modeling with multi
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broader university. The Postdoctoral Research Associate will be responsible for conducting field, laboratory, and/or computer modeling studies to address research questions in the Geological and/or
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printing. Hands-on lab benchwork on cell biology, immunology, and animal tumor models is a plus. Generate, analyze, and evaluate data. Present results in an organized manner. Learn new techniques and
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-driven modeling A combination of education and relevant experience from which comparable knowledge is demonstrated may be considered. Requirements: • Successful background check Joining the CMU team opens
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stereotaxic surgery to deliver drugs, neuronal tracers and/or viral vectors to manipulate functional brain circuits. Expose rats and/or mice to chronic intermittent hypoxic hypercapnia to model sleep apnea
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supervision of Prof. Yingda Cheng on computational methods and modeling for kinetic equations. The research conducted will involve development of numerical methods, development and analysis of reduced order
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the well-being of Utahns and beyond. These guiding principles shape a bold, modern model of higher education—one that embraces place, fosters resilience, and leads with purpose. In service to that mission
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software Preferred Qualifications • Experience in ecological modeling, population dynamics, or fisheries management • Familiarity with species distribution models, catch rate standardization, stock