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PM, and every other weekend (Saturday and Sunday) shifts from 7:00 AM – 7:30 PM Job Summary The Radiology Technologist will provide diagnostic imaging for patients to assist the patient’s physician in
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to Article 5 of the RBIUBI. Receipt of applications: Applications should be addressed to Doctor Rui Manuel da Silva Fernandes, Principal Investigator of the project, to this e-mail rui@segal.ubi.pt
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University of California, Los Angeles | Los Angeles, California | United States | about 13 hours ago
candidate permissions at the appropriate time in the search process Apply link: https://recruit.apo.ucla.edu/JPF10241 Help contact: endochiefsearch@mednet.ucla.edu About UCLA As a University employee, you
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comprehensive bench-to-bedside research initiative focused on harnessing the bodys immune system to fight cancer at all levels (https://cancer.osu.edu/piio ). Led by founding director Zihai Li, MD, PhD, the PIIO
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of the Faculty of Science at the University of Antwerp are seeking post-doctoral candidates willing to write research proposals on the functional morphology of organisms via dynamic X-ray imaging. Position X-ray
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California State University, Los Angeles | Los Angeles, California | United States | about 11 hours ago
given to those with relevant work experience and training. Registered Dietitian; Doctoral Candidate or Post-Doc. MS/PhD in Nutritional Science, Food Science, or related areas. Experience in the fields
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Posting Details Posting Details Job Title Radiology CT Tech/UKHC Requisition Number RE53178 Working Title CT Technologist Department Name H3181: CT Services Work Location Lexington, KY Grade Level
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including your letter of motivation, CV, and credentials in a single pdf file via email to André C. Stiel . Thank you for indicating “Post-doc / Ph.D. student – SAW2See” in the subject line. The position is
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the work from start to finish, ensuring rapid adoption, real-world relevance, and a clear pathway from prototype to market deployment. Achievement of the expected progression within Post Doc and Senior Post
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on challenges related to computer vision for geophysical image data. You will investigate and develop robust methods for training models, exploring/developing approaches for multimodal data, utilize context