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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 3 days ago
6 Mar 2026 Job Information Organisation/Company Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID Department DRH Research Field Engineering » Electrical
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formal radiology technology training program in an AMA approved school. Minimum 1 year experience with high field magnetic resonance system. Flexibility in scheduling, ability to rotate shifts as
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imaging data, computer models, and statistical tools. The individual will prepare manuscripts and contribute to the development of grant proposals. The McIntyreLab currently conducts research in the areas
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science/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning
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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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disease prognosis. This position offers a unique opportunity to work at the forefront of optical imaging technology, combining experimental optics with advanced computational and data-driven methods. Roles
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capabilities across the earth sciences. The Department offers unrivalled facilities for geology, geophysics and data science, including world-class University of Manchester (UoM) facilities in Research Computing
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will shape a comprehensive medical physics innovation and technology program that accelerates discovery, advances precision therapeutics, and redefi nes how radiation therapy is delivered and optimized
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membrane separation processes. Good knowledge of English, and mandatory written and oral proficiency in Portuguese. Selection process Read the job offer at http://www.cebal.pt/images/docs/Posicoes/2026
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of Cambridge; https://www.abg.psychol.cam.ac.uk ) and Prof Eleni Vasilaki (University of Sheffield, School of Computer Science). Are you passionate about uncovering the brain mechanisms that support adaptive