366 algorithm-development-"Prof"-"Prof"-"Washington-University-in-St" PhD positions in United Kingdom
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treatments. To date, there are few techniques that integrate AI and digital twins to improve patient outcomes. Your Role In this project, you will develop new methods that combine AI and digital twins
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Supervised by: Rasa Remenyte-Prescott (Faculty of Engineering, Resilience Engineering Research Group) Aim: Develop a mathematical model for obsolescence modelling for railway signalling and telecoms
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lead to transformational developments for the chemical industry and associated energy technologies. This project, which is funded by the Royal Academy of Engineering, will involve the selection
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power generation companies—to develop robust methodologies for investigating failure mechanisms in CFRP sleeves. Your contribution will help prevent catastrophic magnet detachment and significantly
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with a background in cognitive psychology, data science or computer science and a willingness to develop skills in computational models of cognitive processes, statistical methods, and programming (R
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We are seeking a highly motivated PhD student with a strong scientific background and a desire to develop interdisciplinary research skills to join a cutting-edge project at the intersection
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, which are prone to failure under extreme rotational stresses. This project responds to industrial demand—highlighted by Aerospace and power generation companies—to develop robust methodologies
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The project: This project aims to develop advanced, untethered soft artificial muscles for next-generation power clothing, exosuits, and assistive wearables . Current wearable actuators rely
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studies, and misinformation and information deception-will also be considered. In the first half year, the candidate will work closely with Dr. Seaborn and senior researchers to train and gain experience
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interdisciplinary team working on the development of cross-platform alignment technologies that integrate material science, process engineering and sustainability analysis to deliver scalable solutions for circular