499 machine-learning-and-image-processing-"U" Postdoctoral positions in United Kingdom
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About the Role The successful candidate will be responsible to carry out a project in the field of Cardio-Immunology using in vivo and in vitro techniques, including flow cytometry and imaging. She
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analysed by bespoke machine-learning driven algorithms, combined with physical models, to de-noise images, identify features and correlate properties, giving critical insights into power loss pathways
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learning approaches to predict long-term treatment outcome from imaging and electrical data on clinical timescales, using a virtual cohort as additional training data. The candidate will also develop novel
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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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Computer Science or a related topic. Applicants at the PDRA level must have a PhD in NLP or machine learning. Substantial knowledge of Natural Language Processing (NLP) and machine learning methods is essential, as
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The University of Oxford is seeking a highly motivated Postdoctoral Scientist with expertise in biostatistics, machine learning, and cardiac magnetic resonance imaging (MRI) to join Professor Betty
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The University of Oxford is seeking a highly motivated Postdoctoral Scientist with expertise in biostatistics, machine learning, and cardiac magnetic resonance imaging (MRI) to join Professor Betty
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of ultrasonic processing and materials characterisation. You will be specifically responsible for the testing, characterisation and critical evaluation of the as cast and prototype AM test pieces. Hence a
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state-of-the-art machine learning and deep learning techniques (such as generative adversarial networks), with empirical fieldwork in Norwegian glacier environments. As a Postdoctoral researcher, you will
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bioinformatic workflows. Familiarity with biomedical ontologies and text mining on Electronic Health Records and biomedical literature Knowledge of machine learning / deep learning with an interest in