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Job Purpose We are seeking a highly motivated Computer Scientist to advance tissue-based research through innovative computational and artificial intelligence (AI) approaches to pathological images
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of Biomedical Engineering (SBME). The successful candidate will work on advanced machine learning applications in computational pathology, medical imaging, and clinical text analysis. They will be expected
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Università di Pisa - Dipartimento di Patologia chirurgica, medica, molecolare e dell'area critica | Italy | 1 day ago
Research contract - Department of Surgery, Medical, Molecular and Critical Area Pathology - duration 24 months - expiration date 4th april 2026 at 1 pm Where to apply Website https://bandi.unipi.it/public
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” team. Website: https://cermav.cnrs.fr/en/equipe/physico-chemistry-and-self-assembly-of… Team Leader: R. Borsali The successful candidate will be responsible for synthesizing glycopolymers based
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/ ) coordinated by Alessandro Gozzi. This group focuses on System and computational neuroscience. Your activity will comprise fMRI image pre-processing fMRI image analysis And will allow you to develop competences
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collaboration of nearly 100 faculty and staff within the colleges of Engineering, Medicine, and Liberal Arts (https://www.iibi.uiowa.edu ). The facility includes 3T, 3T head only and 7T research scanners
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: Semiconductor processing or microfabrication Computational modelling (COMSOL, MATLAB, or similar) Experience with optical/THz systems is beneficial but not essential Curiosity, problem‑solving ability, and
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offers and actions on https://cluster-ia-enact.ai/ . You will work in a rare environment at the intersection of frugal AI, analog computing, reconfigurable electronics and THz imaging. The PhD is directly
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 13 hours ago
candidate will be expected to publish in peer-reviewed journals and contribute to the broader NASA Earth Science community's preparation for the next generation of orbital imaging spectrometers. Point
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in computer vision, machine learning, and related fields, to further visualization and interpretation of molecular images. Our research environment focuses on methodological development in cryo