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Field
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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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well as helping with daily laboratory upkeep tasks. The position involves a substantial amount of mouse work, mammalian cell culture, histology, molecular biology techniques, and imaging and associated analysis
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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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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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tasks include: AI support in the process chain: developing and applying image analysis, data process analysis, and sensor technology for textile production; using machine learning for process optimisation
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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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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
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-of-the-art biophysical methods (microscopy, spectroscopy, live cell imaging, nanotechnology and neutron and X-ray scattering) to address cutting-edge questions in biology and meet medical challenges. Our joint
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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 devices for large modulating