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Field
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combines microfluidics, bubble physics, and ultrasound signal processing to bring nanobubble imaging closer to clinical use. You will collaborate closely with a fellow PhD candidate, a postdoc, and a
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, preferably in Python, and experience with machine learning or deep learning. Experience in computer vision, digital pathology, whole-slide image analysis, self-supervised learning, foundation models, multiple
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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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environment and receive training in complementary experimental approaches in cellular and synaptic neuroscience. The project combines primary neuronal cultures, mouse models, advanced fluorescence imaging
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, computer vision or machine learning or Documented Experience with 2D or 3D biomedical imaging, quantitative or multimodal biological datasets. Familiarity with biomaterials, tissue engineering, scaffolds
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university, or an equivalent standard from an overseas university, in a relevant subject such as imaging, biology, biochemistry, chemistry, biomedical sciences, pharmaceutical sciences, data analysis
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Chair of Biological Imaging 13.08.2026, Academic staff Join us in shaping the future of biomedical imaging We are looking for a curious and persistent PhD student (f/m/d) who wants to discover new
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related field at the level of a master degree Programming skills (Python) and experience with common machine learning platforms Experience with deep learning, computer vision, medical image analysis
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, Biotechnology, Bioinformatics, Biology, Computer Science, Medical Technology, or a closely related field. Relevant experience with biomedical imaging, quantitative data analysis, image processing, machine
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newly born neurons, combining developmental neuroscience with structural biology imaging. This research will uncover fundamental mechanisms of brain development and provide insight into processes