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extensive desk/computer work on a daily basis, requires manual dexterity for operation of keyboard. Vision abilities include close and distance vision and ability to adjust focus, able to hear and communicate
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Laboratoire de Physique des Interfaces et des Couches Minces (LPICM), UMR CNRS/École Polytechnique, | Palaiseau, le de France | France | 14 days ago
(denoising, Mueller matrix calculation/decomposition) and AI-based diagnostic algorithms using machine/deep learning. The primary challenge will be to deliver practitioner-relevant cervical images in under 0.5
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. PHYSICAL DEMANDS Job requires standing for prolonged periods, frequently bending/stooping and traveling, reaching (overhead, extensive, repetitive); Repetitive motion: (computer keyboard). Proficient
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records of experiments and results. May assist with animal husbandry. Maintains lab equipment and related records. Transports, processes and logs samples. Maintains computer database with relevant clinical
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to the programme of research. Job Requirements: Bachelor’s degree (or near completion) in Computer Science, Electrical/Computer Engineering, or a related field. Basic understanding of machine learning and computer
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
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equivalent. Strong background in machine learning and computer vision. Prior experience in data-efficient classification, synthesis, and detection is preferable. Strong publication records in top-tier machine
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innovative methods for processing and analyzing 7Tesla MRI images of different modalities and formats (NIFTI, DICOM, etc.) using machine learning and artificial intelligence techniques. These methods will be
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, multidisciplinary research team focused on advancing cancer care through cutting-edge computational and AI technologies. We develop innovative approaches that combine deep learning, computer vision, and
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ordenador a imagen hiperespectral/multimodal/3D y evaluación con métricas específicas. / - Usage of computer vision and hyperspectral, 3D and multimodal imaging techniques and evaluation with specific