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of myocardial fibrosis using 68Ga-FAPI-04 PET/CT (Protein Positron Emission Tomography associated with Computed Tomography using Gallium-68-labeled Fibroblast Activation Inhibitor), integrating multimodal imaging
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 17 days ago
recruitment, Ph.D. is an advantage, · practice min. 1 year in developing and implementing computer vision or image processing algorithms, · proficiency in Python (and optionally C/C++), · familiarity with image
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education in lieu of experience) Required License No If yes, what is the required licensure/certification? Required Computer Applications: Microsoft Excel, Microsoft Word, Microsoft PowerPoint, Microsoft
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++ or similar) and an interest in quantitative or computational approaches are required. Prior experience with image analysis, machine learning, signal processing, or structural biology is meritorious but not
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of small pixels and spectral requirements), interferometric techniques rely on comparing an interferogram imaged by the detector array with a simulated interferogram prior to detection. Through processing in
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workstation for extended periods of time and performing tasks with repetitive motions (such as typing). Also involves some risk of injury from moving, lifting or positioning patients, equipment, or materials
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(Certified Nuclear Medicine Tech) or ARRT Nuclear Medicine (American Registry of Radiologic Technologists) Clinical Ladder State- of -the- art- technology Join the Duke Health Nuclear Medicine Team! https
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. 6. Workplace The work will be carried out at the Department of Electrical and Computer Engineering of the NOVA School of Science and Technology of NOVA University Lisbon, under the scientific
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following skills: Strong interest in the field of neuroimaging, psychiatry and genetics. Computer skills: Strong level in the main informatics software (FSL, Freesurfer, fMRIprep) and coding languages (R
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optical image, visual optics, and bio-medical implants. The Centre brings together a multi-disciplinary team of over 20 PhD and Post-Doc researchers in manufacturing engineering, instrumentation and optics