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/or dynamic analysis of mechanical/robotic systems •Ability to use finite element modelling and to simulate complex mechatronics •Ability to implement control and kinematics with hardware-in-the-loop
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. If the later, then the overall non- biodegradable component would not be eliminated but would be reduced. 'Smart substitutions'. This explores the possibility that chemical substitutions that provide required in
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with microstructural features and failure mechanisms Development of models to describe degradation mechanisms and predict component lifetime Presentation of research findings at project meetings
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approaches, including principal component analysis and machine learning, to handle multivariate datasets. Prior experience in data science is not essential; the successful candidate will be supported through
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testing. We aim to develop next generation electrochemical energy technologies through holistic views of ammonia/methanol fuel cells and metal and metal ion (Li, Na, Ca etc.) batteries, from the nanoscale
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) + Finite element methods for complex flows in porous media (generalized multiscale finite elements via autoencoders, adaptive in space and time, splitting methods, and variational flux recovery) + Adaptive r
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energy through more efficient design of piled foundations. The PhD student will focus on grain scale mechanics experiments and numerical modelling using the Discrete Element Method (DEM) with the aim
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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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with individual feedback, exposure to external guests, and research methods curricula. International elements Projects with partners in Germany and abroad International comparisons and thematic reference
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fields. Integrate a new measurement solution to deepen understanding of the metal 3D printing process and link with ex-situ inspection systems. Apply deep and shallow supervised learning methods