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Field
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The Universidad de Las Palmas de Gran Canaria (ULPGC) invites applications for a Researcher position (ICP2 – Master's degree or equivalent, MECES 3) within the research line "Hyperspectral Image Processing and
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of databases containing data and signals, i.e., audio, images, and biological. Design, implementation, and testing of deep learning and AI algorithms for processing audio, image and biological signals and data
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the EU Research Framework Programme? Other EU programme Reference Number 2609/11 Is the Job related to staff position within a Research Infrastructure? No Offer Description Analysis of microscopy images
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Resonance Imaging to Molecular Signatures: Generative AI for Virtual Biopsy in Gliomas - Gliogen X will be to develop a non-invasive virtual biopsy based on magnetic resonance imaging to molecularly classify
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: General mammalian cell culture hiPSC culture and cardiac differentiation Molecular biology (RNA extraction, RT, qPCR) IF staining and imaging (inc. image processing and quantitative analysis of features
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cardiac arrhythmia and remains challenging to treat effectively, with many patients experiencing recurrence after catheter ablation. One reason for this is the difficulty of identifying the specific
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images into editable text (OCR). Where to apply Website https://sede.unizar.es/?app=touz&opcion=listar#77557 Requirements Research FieldInformation science » DocumentationEducation LevelBachelor Degree
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máquina/profundo aplicado al procesamiento de imágenes y vídeo / - Application of machine learning and deep learning techniques to image and video processing. - Aplicación de lo anterior al caso de uso
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aplicadas al procesamiento de imágenes y vídeo / - Application of machine learning/deep learning and image segmentation techniques to image and video processing. - Aplicación de lo anterior a casos de uso en
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of the performance of the various medical tests Clinical aspects related to bioengineering and data science work, including post-processing and analysis of different cardiac imaging studies. Strict collaboration with