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Field
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PhD studentship: Improving reliability of medical processes using system modelling and Artificial Intelligence techniques Supervised by: Rasa Remenyte-Prescott (Faculty of Engineering, Resilience
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Location: UK Other Supervised by: Rasa Remenyte-Prescott (Faculty of Engineering, Resilience Engineering Research Group) Aim: Develop a mathematical model for analysing reliability and efficiency of medical processes Background Adverse events and preventable failures in healthcare services...
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position within a Research Infrastructure? No Offer Description PhD positions in Computer Vision and Artificial Intelligence The newly founded Artificial Visual Intelligence group (AVI), under the umbrella
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Join the PhD programme in Artificial Intelligence at Ulster University’s School of Computing, where we are leading research that transforms how people interact with technology and improves lives. As
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Sciences and Medicine powered by Artificial Intelligence (SPM4.0)” that involves 10 research centers/academic institutions and 3 companies. The SPM4.0 Consortium / Background Artificial Intelligence (AI) is
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3.5-year EPSRC funded UDLA PhD studentship. The studentship will start on 1st October 2025. Project Description The UK Government's pursuit of Net Zero and Energy Security heavily relies on developing
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This project aims to develop a digital twin of the human stomach that integrates first-principles mathematical modelling with machine learning. The model will simulate the complex mechanics, chemistry, and neural feedback of the stomach, including motility, secretion, and emptying,...
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understood. The collaborative groups of Prof. Steiner and Prof. Frishman (LMU and TU Munich) have developed a methodology based on physicochemical profiling and explainable artificial intelligence (eAI
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physics will be employed to improve the robustness and applicability of fracture modelling. Artificial intelligence will support this effort, accelerating parameter calibration and facilitating uncertainty
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), in which he or she will be able to give courses, and the Department of Computer Science, Data and Artificial Intelligence of Institut Polytechnique de Paris (IDIA). He or she will also interact with