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the appropriate rank based on their education and experience. The broad criteria are noted below. Education The successful candidate must have the following degrees: A PhD or Doctorate in Medical Imaging, with a
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Medical Computer Vision Experience with Large Language Models and Generative AI Experience working with real-world EHR and imaging data Experience working with PACS and the DICOM standard Preferred
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of Health Science and Technology, one or more PhD stipends in Unsupervised Learning for Medical Image Analysis are available for appointment from November 1, 2026, or as soon as possible thereafter
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aspects of pathobiology and pathophysiology. Areas of focus may include the development and use of imaging biomarkers of processes such as inflammation, fibrogenesis, and fibrosis in cancer
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26 Aug 2026 Job Information Organisation/Company Adelaide University Department Future Industries Institute Research Field Technology » Medical technology Engineering » Biomedical engineering
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methods tailored to ILC. The PhD researcher will fine-tune and benchmark pathology foundation models using multi-site H&E and immunohistochemistry whole-slide images. The aim is to learn representations
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will find more information about working at NTNU and the application process here. About the position We have a vacant 100% PhD position in the MRI Physics Group at the Department of Physics, NTNU
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process by the Principal Investigator (PI). For application inquiries, please contact [email protected] or visit our dedicated PhD Call webpage for more information. https://vib.be https
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developed mouse models and human tissue processing pipelines. The candidate will learn and use cutting edge immunological methods (high parameter flow cytometry, multiplex imaging, single cell and spatial
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Medical Imaging and Radiation Science online. The successful candidate will hold a BSc or MSc in Diagnostic Radiography or a related discipline, and ideally possess a PhD or equivalent. Duties will include