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new algorithms and associated software stack for multimodal data analysis and monitoring. The post holder will focus on technical algorithmic developments such as using unsupervised and self-supervised
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modalities, including imaging, text, social and clinical data. The postholder will design and develop new algorithms and associated software stack for multimodal data analysis and monitoring. The post holder
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colorectal cancer screening and treatment. They will contribute to the design of AI algorithms for polyp detection, tissue characterization, and visual guidance of robotic intervention. This is a full time
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About Us We are seeking experts in medical image deep learning to join our team and help develop novel computationally efficient segmentation algorithms. We welcome application from individual with
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will include contributing to our clinical NLP tools, algorithms and interfaces used by clinical specialists. The post holder will be expected to be able to contribute in the following areas: Extend our
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will include contributing to our clinical NLP tools, algorithms and interfaces used by clinical specialists. The post holder will be expected to be able to contribute in the following areas: Extend our
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hours per week) and you will be offered a fixed-term contract for 12 months. The preferred working days are Tuesday, Wednesday, Thursday and/or Friday, with an ideal distribution of hours across four
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Desirable criteria Experience of advanced statistical and/or machine learning methods, such as longitudinal analysis methods, latent variables models, clustering algorithms, missing data and clinical trial
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conflict settings. The role is based within the Understanding strand, in the Department of Digital Humanities in the Faculty of Arts and Humanities. The Understanding strand will map the distribution
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the Understanding strand, in the Department of Digital Humanities in the Faculty of Arts and Humanities. The Understanding strand will map the distribution, prevalence and forms of slavery across diverse conflict