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University of California, San Francisco | San Francisco, California | United States | about 17 hours ago
Radiology - Ultrasonography Full Time 87156BR Job Summary The position performs ultrasound procedures to demonstrate anatomy for interpretation and/or intervention. Processes images on appropriate
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. The fellowship candidate must hold a Ph.D. in Agricultural Engineering or related fields, with expertise in irrigation, remote sensing, image processing, and precision agriculture. Experience in programming
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of Radiological Sciences at the University of California, Irvine, anticipates openings for a postdoctoral fellow in the TRUE Lab (https://truelab.som.uci.edu ). We are seeking a creative, dedicated, and
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strategies to manage labor and prevent preterm birth. The lab uses innovative and cutting-edge experimentation and relies heavily on signal and image processing, inverse computation, engineering methods
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19 Dec 2025 Job Information Organisation/Company KINGS COLLEGE LONDON Research Field Biological sciences Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Country
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of Informatics at Kaunas University of TechnologyCountryLithuaniaCityKaunasPostal CodeLT-51368StreetStudentų g. 50Geofield Contact City Kaunas Website http://ktu.edu/en Street Studentų g. 50 Postal Code LT-51368 E
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We are looking for an enthusiastic image analyst with suitable technical expertise to support an exciting research programme focused on the development and validation of novel technologies
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techniques (e.g., cell culture, Western Blotting, PCR/qPCR, cloning, and recombinant protein expression/purification). Experience with fluorescence microscopy (e.g., confocal, live-cell imaging) or image
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images, with predictive value Implementation of natural language processing tools for data structuring Development of prognostic models and prediction of results We aim to hire an experienced data
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demonstrated experience in computer vision or analysis of pathology images. The appointees will participate in a multidisciplinary collaborative research project related to development of deep learning model