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to work well with minimal supervision and with PhD students and external collaborators. Experience related to performance analysis and optimization, GPU architecture, and code generation are highly
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 24 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 | 24 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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optimization of fuel-cell-based electric vertical take-off and landing uncrewed aerial systems for medical deliveries. Reporting to ARC Future Fellow and Professor Dries Verstraete, as Postdoctoral Research
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or soon hereafter. Your work tasks The aim of the project is to optimize the production of pigments, which can be used as electrolytes in a battery for storing renewable energy. The work will include
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breakthroughs in NV sensor synthesis and host diamond heterointegration. The successful candidate will operate at the interface of these programs, playing a central role in developing and optimizing next
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of accidentals and low-energy signals, characterize background populations, improve event reconstruction, and understand detector effects. They will contribute to LZ operations and performance optimization
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of accidentals and low-energy signals, characterize background populations, improve event reconstruction, and understand detector effects. They will contribute to LZ operations and performance optimization
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-VLMs, tiny-VLAs; Agentic-AI systems; and Robust Generative AI targeting hallucination, safety and security issues. Besides robustness, systems should also be optimized for high performance and energy