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Computational Imaging Research Lab (CIR), Department of Biomedical Imaging and Image-guided Therapy | Austria | 2 months ago
5 Nov 2025 Job Information Organisation/Company Computational Imaging Research Lab (CIR), Department of Biomedical Imaging and Image-guided Therapy Research Field Computer science » Modelling tools
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4 Jan 2026 Job Information Organisation/Company INESC TEC Research Field Computer science » Programming Computer science » Informatics Researcher Profile First Stage Researcher (R1) Country Portugal
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Communication System (PACS) Minimum Knowledge - Ultrasound biopsy Minimum Knowledge - Breast imaging Minimum Skill - Verbal and written communication Minimum Skill - Organization and prioritization Minimum
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understanding of bone and bone diseases, as well as their treatment. DanSIC mission is to advance the field of spatial biology through innovative imaging technologies and bioinformatics, in order to provide
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Services team members provide tier 1 and 2 IT computing support for faculty, staff, students, researchers and computing labs for the College of Engineering (CoE); leads in providing immediate assistance and
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theoretical and computational models capable of learning and inverting operators derived from real physical processes. Where to apply Website https://concorsi.unige.it/home Requirements Additional Information
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Sciences, within the scope of the R&D project ‘Vine & Wine PT’ (reference BI/UTAD/105/2025), funded by the project Vine&Wine Portugal – Driving Sustainable Growth Through Smart Innovation (Application
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Qualifications: Master?s degree in related field; Experience (generally, 5+ years) in Computer Game Design Development; Experience in serious game development; and Demonstrated ability working with a diverse
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professional development. Enters information into Radiology Information System. Process Computed Radiography System and reviews images in the PACS system. Performs other duties as assigned. Salary Information
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between various imaging modalities and multi-omics during aging and development. • Implementing computationally intensive algorithms on high-performance computational clusters