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data acquired by mobile road monitoring systems using heterogeneous sensors, such as images, laser profilometers, GPS, and audio data, will integrate machine learning, computer vision, and image analysis
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of experimental data generated through immunocytochemistry, molecular biology, and imaging techniques. Where to apply Website https://pica.cineca.it/ Requirements Additional Information Eligibility criteria
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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - CENTRO RICERCA SISTEMI ELETTRONICI INGEGN.INF. E TELECOM."ERCOLE DE CASTRO" | Italy | 4 days ago
and testing of demonstrators, as well as the interaction with external service providers (e.g. pcb design and prototype construction based on ARCES designs). Where to apply Website http://www.unibo.it
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microscopy for cellular morphological analysis.Documentation: data processing, drafting scientific reports or manuscripts, and weekly progress monitoring. Where to apply Website https://pica.cineca.it
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the development and validation of artificial intelligence (AI) systems for medical diagnostic imaging. A primary objective is the design of high-reliability models for the automated detection, classification, and
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a Research Infrastructure? No Offer Description Area: 06 – Medical Sciences. Scientific-Disciplinary Group: 06/MEDS-22 Diagnostic Imaging, Radiotherapy, and Neuroradiology. Scientific-Disciplinary
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, which investigates how seasonal adaptation reshapes sensory processing and behaviour in the invasive fruit fly Drosophila suzukii. The project combines functional calcium imaging, behavioural experiments
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Università degli Studi di Roma Tor Vergata - Dipartimento di Biomedicina e Prevenzione | Italy | about 2 months ago
develops imaging-genomics methods to integrate multimodal neuroimaging (structural and functional MRI) with genomic data, in order to characterise the biological basis of brain variability and clinical
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integrating AI with vision at the edge. Despite recent advancements, the synergy between AI and computer vision remains constrained by fundamental imaging bottlenecks. Conventional HDR techniques frequently
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, Python or similar) Specific Requirements Interest in optical imaging and interferometry. Prior knowledge will be a plus Interest in computational methods, image processing and machine/deep learning. Prior