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higher education credits (ECTS). Relevant courses include, for example, image processing, computer vision, machine learning, deep learning and neural networks, as well as courses in Python, GPU programming
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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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reconstruction of the underlying three-dimensional scene. Within this PhD project, you will develop an end-to-end incoherent holographic imaging system. You will investigate models for the propagation
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Engineering » Biomaterial engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 25 Sep 2026 - 17:00 (Australia/Adelaide) Country Australia Type of Contract
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an AI-based image and video processing pipeline dedicated to these novel multi-optics systems. This PhD research is embedded in the project HARMONY_SBO, funded by Flanders Make, the Flemish strategic
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. Bert Koopmans, based at Eindhoven University of Technology. PhD candidate 1 will explore fundamental processes underlying the deterministic creation and annihilation of sub-diffraction limited skyrmions
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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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PhD studentship: Discovery of rational therapeutic biomarkers in breast cancer by systems pathology and deep learning Supervisor: Dr Hamid Raza Ali Department/location:Cancer Research UK Cambridge
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The successful PhD candidate will undertake research in the following areas: Develop deep learning algorithms for autonomous robotic navigation using dual-view image fusion and shadow-based visual perception
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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