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Field
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processes associated with CIN [1], leveraging single-cell DNA sequencing understand CIN heterogeneity [2], and development and implementation of machine learning and AI models to imaging data [3]. The student
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with, cloud computing and virtualisation technologies Familiarity and hands-on experience with machine learning techniques desirable Desirable to have work experience (through internships or similar) in
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with the CHILI Hub (Child and adolescent Health Impacts of Learning Indoor environments under net zero), a five-year UKRI and NIHR funded project in collaboration between five universities (UCL, Leeds
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Company description: We are a world class research-intensive university. We deliver teaching and learning of the highest quality. We play a leading role in economic, social and cultural development
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the investigation and realization of improved microwave probe design, data processing, and visualization techniques to provide a robust method of data analysis, flaw characterization and sizing. AI/machine learning
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methods, and associated climate data analyses. You will acquire skills in science communication, project management and collaborative research, and will be involved in a project of critical interest
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Inspiralis Ltd. (https://www.inspiralis.com ). The student will receive comprehensive support to learn diverse techniques and engage with both national and international laboratories working on RNA
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* Theoretical foundations of machine learning The group has strong ties with the Centre for Discrete Mathematics and its Applications (DIMAP), established in 2007 jointly with Warwick Mathematics Institute and
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technology, publish in top journals and attend international conferences, learn sought after transferable skills, contribute to novel scientific knowledge, and work alongside friendly, enthusiastic experts
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designed to meet multiple needs in marine biodiversity monitoring. The project aims to develop embedded novel deep learning and computer vision algorithms to extend the system’s capabilities to classify