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Field
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in developing and optimizing infection models. In addition, the postdoctoral associate will have the opportunity to work in a collaborative environment, gain experience in studying polymicrobial
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: Investigating the biological mechanisms governing urothelial exfoliation and regeneration. Optimizing stem cell engraftment after urothelial exfoliation Developing diagnostic and therapeutic tools to improve
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microscopy (TEM, STEM, EELS, etc.) Nonlinear optical materials property measurements Process development and optimization (nanofabrication and/or materials deposition) Strong organizational skills including
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 9 days ago
. We optimize our partnership with the UNC Health System through close collaboration and commitment to service. OUR VISION Our vision is to be the nation’s leading public school of medicine. We
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Mathematics, or a closely related field. Design and optimize multimodal LLMs to encode, fuse, and reason over heterogeneous scientific data from diverse modalities such as numerical tables, text, and images
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the commissioning, optimization, and development of analyses for the ALPHA experiment. The candidate is also expected to take a leadership role in JHU-based testing toward the research and development of future
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individuals with disabilities to perform essential functions. Overview The individual will conduct experimental research, maintain and optimize specialized instrumentation, and contribute to data analysis
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to research projects, both independently and collaboratively. Sets up, maintains, and optimizes experimental equipment. Mentors and trains lab members in techniques and experimental design. Presents research
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 21 days ago
, and create personal and professional sustainability. We optimize our partnership with the UNC Health System through close collaboration and commitment to service. OUR VISION Our vision is to be
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. These insights will then be integrated with genomic large language models to design optimized regulatory patterns for modern maize, which will be validated in collaboration with a nationwide team. Modeling