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will be tasked with the development of new models for the early detection of CIN cancers, applying bleeding edge computational methods and machine learning approaches to improve detection and
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, or business analytics Initial practical experience in academic writing and research methods in the field of Operations Research (esp. exact and heuristic solution methods) Teaching skills / experience
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trust in digital communications and readily bypass conventional security controls. This PhD research proposes to design, develop, and validate a novel, explainable, multi-modal detection framework. By
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Aviation by 2050. This exciting doctoral project, in collaboration with Rolls-Royce, will develop innovative computer vision methods which when combined with optical flow velocimetry will enable imaging
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at the Division of Neurophysiology at the Center for Brain Research is looking for a part-time (30 hours per week) PhD candidate in Neuroscience (m/f/x). The project explores how astrocytes contribute to synaptic
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your formal application, please name Prof Peter Munro as your proposed supervisor and include Project Code 24001. Contact: For informal inquiries please contact Prof Peter Munro who will be happy
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through experience without costly retraining. By proving the method in the challenging, high-interaction world of Werewolf, we create a benchmark for measuring and improving AI strategic reasoning. If it
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procedures. These systems combine preoperative planning and intraoperative measurements into a visual interface, improving surgical precision and outcomes. However, current navigation methods have significant
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This self-funded PhD opportunity focuses on assured multi-domain positioning, navigation, and timing (PNT), integrating data from space-based, terrestrial and platform-based sources of navigation
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vapour deposition (CVD) remains a leading method for CNT synthesis, yet the role of catalyst composition in controlling CNT morphology and purity is still not fully understood. This PhD project, in