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this suits a candidate with a background in optical systems / imaging, or with more experience in machine vision, or systems control and automation, or data interpretation. A candidate would not be expected
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developing and applying deep learning models, particularly in areas such as natural language processing (e.g. use of LLMs), computer vision (e.g. CNNs for image classification), and multimodal data integration
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experts to acquire bespoke training and testing data; develop prototype solutions informed by the latest ideas in medical imaging AI, computer vision and robotic guidance; and evaluate models in simulated
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and statistical modelling, statistical image analysis and computer vision, chemometrics, biophysics, bioengineering. Preference will be given to candidates with a demonstrated experience in applying
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solutions informed by the latest ideas in medical imaging AI, computer vision and robotic guidance; and evaluate models in simulated and real clinical scenarios. Evaluation may involve quantitative studies
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We are seeking a talented, organised, and highly motivated individual to join the Department of Eye and Vision Sciences at the University of Liverpool as a Postdoctoral Research Associate, funded by
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immunohistochemistry, along with experience in fluorescent microscopy, image capture and Adobe photoshop are also essential. Main duties and responsibilities Carry out research/experiments. The main duty is to perform
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immunohistochemistry, along with experience in experience in fluorescent microscopy, image capture and Adobe photoshop are also essential. Main duties and responsibilities Carry out research/experiments. The main duty
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of the collaborative interdisciplinary nature of our research, which also includes strong industrial partnerships. The strategic vision for the Department includes a major growth over the next five years, with a
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across the Respiratory Science disciplines with a vision to eliminate lung disease by prevention, early diagnosis and improved treatments. We are leading the field in understanding mechanisms of disease