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Field
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position within a Research Infrastructure? No Offer Description Our research focuses on computational imaging for biomedical applications. By integrating advanced numerical methods with customized optical
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to staff position within a Research Infrastructure? No Offer Description Medical imaging plays an essential role in disease detection, diagnosis, and aftercare. The accessibility to medical imaging is
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to establish DUV-based nanosizing as a viable, adaptable methodology. To achieve this, we will develop low-cost hyperspectral DUV imaging approaches combining holographic imaging with Fourier transform methods
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inclusion of patients, communication with the clinical providers, acquisition of images amongst others. In parallel to the clinical study, focus will be on improving PET/MRI acquisition and developing
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, pre-operative determination via endoscopies and imaging remains unreliable for patient selection. The objective of this study is to develop an image-based machine learning prediction model to assess
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environment. Visible homelessness, such as encampments, is frequently seen as detrimental to cities’ public image. In response, public authorities are increasingly introducing laws and regulations
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seen as detrimental to cities’ public image. In response, public authorities are increasingly introducing laws and regulations that criminalise homelessness, prohibiting behaviours that homeless
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image and speech recognition, recommendation systems, and predictive analytics. Machine Learning / Generative AI Generative AI addresses the creation of multi-modal content in the form of text, images
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at the development of algorithms and models capable of learning from data, recognizing patterns, and signal analysis. Tasks include image and speech recognition, recommendation systems, and predictive analytics
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sources. Your research will focus on combining imaging data (e.g., cardiac MRI, echocardiography), signals (e.g. electrocardiography, intracardiac signals), clinical measurements, molecular and genomic