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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 16 days ago
Summary The Division of Pharmacoengineering and Molecular Pharmaceutics (DPMP) is engaged in research and education in drug delivery options to optimize the therapeutic efficacy of pharmacologically and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 16 days ago
of Pharmacoengineering and Molecular Pharmaceutics (DPMP) is engaged in research and education in drug delivery options to optimize the therapeutic efficacy of pharmacologically and immunologically active agents. It is a
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. Optimize system and component designs for performance and safety. Develop agentic workflows for scientific computing. Author peer-reviewed papers, technical reports for internal and external release and
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of energy materials Develop and optimize advanced X-ray optical concepts with emphasis on maximizing photon flux, transmission, stability, beam quality, and experimental flexibility Design next-generation
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applications, or transitions to faculty. The position is optimal for applicants wanting to a) link multi-omic patient results to mechanistic, causal biology; b) eager to integrate wet-lab experiments with
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integration. Investigate how traction grids can support high-power charging at construction-sites though optimal sizing of chargers and mobile battery storage systems based on the demand and through energy
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-transport-layer engineering, dark-current suppression, metasurface integration, optical-field manipulation, and low-noise detector characterization. The successful candidate will translate optimized CQD
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and reinforcement learning for real-time optimization, fault self-recovery, and production scheduling in industrial processes. Publish research results in top-tier international conferences and journals
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focused on the use of enabling technology, such as flow, to control complex chemical processes. With projects in supramolecular synthesis, organic materials, industry processes, automated optimization, and
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; • Familiarity with statistical analyses and modeling as well as machine learning approaches, supported with strong skills in computational optimization of methods; • Experience working with large-scale datasets