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quantum transduction and terahertz (THz) photon generation via enhanced light–matter interactions. The postdoc will lead efforts in device patterning and the integration of complex materials—such as
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skills and curiosity about complex systems. Position Overview You will design and implement new computational and statistical models to reverse-engineer causal networks from noisy, high-dimensional, multi
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an understanding of the world’s complex, interlocking systems. We believe that access to nutritious food and a healthy environment is a fundamental human right. We believe that ensuring a prosperous global future
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complex instruments and run simulations to accelerate discovery. This involves navigating vast parameter spaces, identifying rare or transient phenomena, and dramatically optimizing the use of precious
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 8 hours ago
equivalent doctorate (e.g., Sc.D., M.D.) Departmental Preferred Experience, Skills, Training/Education: Ph.D. in Political Science, Economics, Public Policy, Geography, or a closely related Computational or
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concerns: We believe that achieving next-generation scientific breakthroughs requires an understanding of the world’s complex, interlocking systems. We believe that access to nutritious food and a healthy
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/ . Trains under the supervision of a faculty mentor including (but not limited to): Performs literature review and synthesize complex biological information into computational frameworks. Develops
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About the Opportunity The Center for Drug Discovery, in association with the Bouve College of Health Sciences, Department of Pharmaceutical Sciences, Khoury School of Computer Sciences, and
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execute complex research studies, procedures and protocols. Participate in discovery projects. Coordinate research study activities; lead and manage projects. Oversee organization, synthesis and analysis
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team engaged in translational environmental health research. Our NIH-funded projects span environmental and molecular epidemiology, computational toxicology employing artificial intelligence