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(CVIT). Responsibilities include creating, organizing, and optimizing project processes; developing medical imaging quality & safety analytics; implementing and/or maintaining data warehousing
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experience with imaging, image processing, and/or visualization, as well as excellent programming skills. You must have a relevant Master's degree in computer science, electrical engineering, imaging science
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Aarhus University (http://bio.au.dk/en) and work in the Archaea Group (https://bio.au.dk/en/research/research-areas/microbial-processes-and-diversity/archaea-group), Section for Microbiology
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POSITION HIGHLIGHTS • The Radiology Technical Assistant provides general support to the Imaging Department. This includes preparing the patient for the procedure/ exam, transporting the patient, assisting
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activity on in-situ and operando study by coupled techniques: Electrochemistry/Raman, Electrochemistry/NMR, Electrochemistry/X-ray diffusion, imaging and spectroscopy. The MIEL team is consisting of 19
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service to patients by facilitating business processes including appointment scheduling, check-in and check-out, pre-arrival and telephone triage. Work closely with other healthcare professionals to ensure
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numerical results with observations from scanning and transmission electron microscopy provided by the partners of the ANR project IMP3D (https://anr.fr/Projet-ANR-24-CE08-3737 . - Select a discrete
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: Algorithm. Software architecture. Machine learning. Professional Experience: In programming and/or research, image processing, machine learning. In topics of machine learning applied to wireless
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following established protocols, while ensuring patient safety, comfort, and confidentiality. Review patient histories and MRI safety questionnaires to confirm procedure suitability and compliance with HIPAA
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with archival best practices, including those related to research, processing, and/or digitization; basic familiarity with current approaches to digitization, image manipulation, file management, and/or