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Field
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University of California, Los Angeles | Los Angeles, California | United States | about 2 months ago
after the first year, with a flexible start date as early as October 2026. Research in The Aguillon Lab focuses on understanding the speciation process through the use of genomic datasets collected from
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(NIH U01): A multi-site implementation science study evaluating precision imaging tools for Kaposi sarcoma in East Africa. The fellow will contribute to data analysis, manuscript development, and study
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matter physics, cosmology, particle physics and quantum physics. It has real‑world impact, informing developments in energy storage, improved cancer imaging, quantum computing, nuclear fusion, pandemic
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of specialist laboratory equipment, including advanced fluorescence microscopy and spectroscopy platforms such as the PicoQuant Luminosa, to generate, analyse and interpret imaging, fluorescence lifetime, single
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within this field. Your work tasks In this position you will conduct research within Computer Vision and Deep Learning, with a particular focus on the development of an AI-powered framework
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characterization of germanium detectors, develop advanced Monte Carlo models and AI-driven analysis tools to optimize detector response, and to promote precision medical imaging and low energy dark matter searches
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
, imaging, biomarkers distribution in blood or synovial fluid) as well as histological evaluation of multiple tissues (cartilage, bone, synovium, muscles), protein/gene expression analyses in isolated tissues
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for practical applications. This project aims to develop a new OAM platform using well-designed 2D material nanocomposites based on MXenes combined with functional organic molecules, and to demonstrate prototype
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expertise and that of the team to rapidly identify problems, propose solutions, and prototype, test, and validate new ideas that expand our core technical capabilities. Your work will include designing and
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science or similar area is required. The candidate is expected to have a profound knowledge on the majority of the following topics: Embedded systems programming Robot Operating System (ROS) experience Medical imaging