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scientific imaging (TR-FLIM, HSI, ISM), designing mathematical and unsupervised learning algorithms for nonlinear inverse problems, with reliable reconstructions even with limited data. Where to apply Website
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Synthetic Data: A Solution to Medical Imaging Limitations Where
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its alloys. The successful candidate will explore how multi-modal process data, including image and video image data in the visible and infrared range, can be used and interpreted through AI models
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of physics- informed machine learning and deep learning, with applications to inverse problems in scientific imaging and the modeling of complex physical systems. The overall goal is to integrate the knowledge
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for the realistic simulation of space images. The work lies at the intersection of computer graphics, space engineering, and autonomous GNC systems, addressing the image rendering needs for lunar landing, in-orbit
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of demonstrating and evaluating a prototype application for assessing the health of assets in networked infrastructures Where to apply Website https://aunicalogin.polimi.it/aunicalogin/getservizio.xml?id_servizio
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-reality platform for medicine: interactive 3D models are reconstructed from 2D images (e.g., DICOM) and rendered on AR devices such as HoloLens 2 via Unity. Clinicians can manipulate the models and perform
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performance in terms of sensitivity, stability, and robustness to motion artifacts. The resulting smart eyewear prototype will enable real-time, privacy-preserving facial expression recognition with potential
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for strengthening activities in relation to their specific expertise (e.g., computational imaging, deep learning, numerical optimization) Where to apply Website https://concorsi.unige.it/home Requirements Additional
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Dipartimento di Ingegneria dell'Informazione - Università degli Studi di Padova | Italy | 20 days ago
activity focuses on the acquisition and analysis of visual data, such as images and videos, for the monitoring and understanding of procedural activities in laboratory and industrial environments, aimed