374 postdoctoral-soil-structure-interaction-fem-dynamics PhD positions in United Kingdom
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proportion to density which reduces the available contrast when attempting to discriminate high density materials. Magnetic induction spectroscopy (MIS) explores the interaction of magnetic fields with
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skills, with a well-rounded academic background. Demonstrated ability to develop precision mechatronics/robotics systems and algorithm Ability to develop kinematic and/or dynamic analysis of mechanical
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analytical and numerical skills, with a well-rounded academic background. •Demonstrated ability to develop precision mechanical devices and mechatronics •Ability to develop kinematic and/or dynamic analysis
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-rounded academic background ◾Demonstrated ability to develop precision mechatronics system and algorithms ◾Ability to develop kinematic and/or dynamic analysis of mechanical/robotic systems ◾Ability
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at Cranfield benefit from being part of a dynamic, focused and professional study environment and all become valued members of the Cranfield Doctoral Network. This network brings together both research students
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Type of award Studentship Managing department Faculty of Humanities Value Tuition fees An annual maintenance stipend (£19,237 per annum for 2024/25) Successful candidates will join a dynamic
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applications such as drug delivery. Possible outcomes and goals: Studying the interaction of collections of synthetic cells (i.e. proto-tissues) for tissue engineering and regenerative medicine applications
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on the land-based and food supply chain sector. With around 2,800 undergraduate students, plus those completing postgraduate, research and CPD programmes, Harper Adams University is the UK's largest single
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opportunities. Be mentored by internationally recognised research leaders Our cohort-based, 4-year scheme offers a distinctive PhD training experience. During this structured PhD programme, you will complete
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. This project aims to dive into the dynamics of attack methodologies (e.g., Membership Inference, Property Inference) and defensive mechanisms (e.g., Differential Privacy, Machine Unlearning) within FL