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8 Sep 2026 Job Information Organisation/Company Newcastle University Department Biosciences institute Research Field Neurosciences Researcher Profile First Stage Researcher (R1) Positions PhD
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integrating AI with vision at the edge. Despite recent advancements, the synergy between AI and computer vision remains constrained by fundamental imaging bottlenecks. Conventional HDR techniques frequently
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of coronary artery disease and supporting clinical decision-making during catheterization procedures. The project brings together cardiovascular imaging, generative AI, and computational modeling to develop
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informed of the outcome of the selection process following the final stage. Additional comments About the QuanG2 PhD Call This PhD position is offered as part of the QuanG2 PhD Call for Applications, a
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computer vision, deep learning, and logical reconstruction techniques. The research investigates how multimodal imaging modalities - including scanning electron microscopy (SEM), photon emission microscopy
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ejection fraction and contribute to the assessment of conditions including heart failure and valvular heart disease. At present, cardiac volumes are predominantly assessed using imaging techniques such as
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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD student will join the
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machine learning and physics to recover nanoscale information from imperfect images? Modern computer chips are built with features only a few nanometers across, yet manufacturers need to measure these
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is seeking a highly motivated PhD candidate to work on a fundamental research project on systems and control theory for learning in neuromorphic circuits. Neuromorphic computing is an analog, brain
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to modern medicine, and bacteriophage therapy is a promising route to treat drug-resistant infections. Yet phage therapy can fail when bacteria evolve resistance or deploy defence systems that block