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to recognize and critically reflect on the influence of both linguistic and multimodal forms of communication. For example, how words like “riot” versus “demonstration” frame the same event very differently
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. dos Santos is an Assistant Professor (Lecturer) in Computer Vision at the University of Sheffield. His research interests include remote sensing image processing, computer vision and machine learning
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Unravel the complexity of valve disease in heart failure using Digital Twin technology. Help transform how cardiologists decide when and how to treat patients through personalized computer
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. Machines must be equipped in-situ with smart sensors and supported by systems that can process such as images and time series, in real time. Machine learning and AI have become essential for driving
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Institut de chimie des milieux et matériaux de Poitiers - Equipe SAMCat | Poitiers, Poitou Charentes | France | 14 days ago
(storage in stabilized form). Assess the compatibility of treated residues with valorization in the construction sector. Develop a prototype of an integrated process, adaptable to the characteristics
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including predictive modelling, computer vision and epidemiology. The student will join an established team of investigators, including statisticians, epidemiologists, image scientists, and clinicians
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would be doing: Process and analyse large-scale calcium imaging datasets from multisensory experiments, including neural responses from visual and auditory cortices recorded over multiple days Apply and
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) Project description: The project aims to select and create plants with increased albedo, which is the ability to reflect sunlight. Hyperspectral imaging methods and plant genetic modification will be used
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for efficient imaging of biological objects at molecular resolution. Job description Femto-Cryo project is a Topconsortium voor Kennis and Innovatie (TKI) project in a public-private partnership (PPP) scheme in
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/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning packages