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to include results of patient studies and radioactive decay. Evaluate recorded images for technical quality. Process computerized image data to include function curves and reconstructed SPECT images. Assume
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non-adulterated specimens,followed by the processing, analysis, and classification of the collected data through the application of artificial intelligence models. Where to apply Website https
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& Imaging Sci Posting Number req27242 Department Radiology & Imaging Sci Dept Department Website Link https://radiology.medicine.arizona.edu/ Location Tucson Campus Address Tucson, AZ USA Position Highlights
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at defining new strategies for the treatment of neurological diseases that target astrocytic dysfunction. For further information about the center/research group, see: https://ctn.ku.dk/ Your job You will join
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used in mice to assess: anxiety; social interactions; ultrasonic vocalisations. - Use of specialist software for behavioural analysis in mice. - Proficiency in image analysis and processing software
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 13 days ago
Hill seeks a computational postdoctoral researcher to develop and apply methods for integrating single-cell sequencing and imaging data within controlled cell-line model systems. The project focuses
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Inria, the French national research institute for the digital sciences | Talence, Aquitaine | France | 11 days ago
. Such a processing is performed by scientific softwares called calibration and imaging pipelines. One of the current worldwide interferometric pipeline for radio-telescopes is DDF-pipeline, constituted from
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the interview process. Job Summary The Radiology Technologist will provide diagnostic imaging for patients to assist the patient’s physician in expediting needed care. Job duties include performing or assisting
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of platforms based on the Data Mesh paradigm for data sharing. Activities include requirements analysis, architecture definition, distributed data integration and management, and solution validation through
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detection, statistical detection models and mathematical models of image processing; (iii) demonstrate experience in academy-industry projects; (iv) interest in publishing high-quality journal papers in