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Field
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. Entry requirements: Applicants will normally need to hold, or expect to gain, at least a 2:1 degree (or equivalent) in Mechanical Engineering, Electrical Engineering, Mechatronics and Control Engineering
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complex dynamics. In parallel, collective decision-making mechanisms (e.g., opinion dynamics) will be leveraged at the high level to coordinate the desired behaviours of multi-agent systems in response
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experts in the field. We seek an enthusiastic and talented candidate with a Master’s degree (or equivalent) in Physics or a related discipline. A solid background in quantum mechanics, fluid mechanics
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-efficiency trade-offs, using automated configuration to find Pareto-optimal designs under real deployment constraints. 2) Build the distributed learning loop. Develop the learning and update mechanisms
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their targets are simulated at the atomistic level. The most widely-used tool for this are molecular mechanics force fields, such as those developed by the Open Force Field Initiative [https://doi.org
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of the simulation tool To support in the development and manufacture of demonstrator structures Overall, the PhD student will have the ability to develop advanced skills at the intersection of structural mechanics
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an objective and consistent method of measurement. The implication of this is a mechanism through which customer and supplier can agree on model quality. Furthermore, the outcome will inform the development
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a range of biological characterisation techniques to assess their behaviour. The project builds on previous work which has seen the group develop, patent and spin-out a new bioprinting technology
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mechanics. Skills you’ll gain Under the supervision of Charlie Heron and myself you will gain: Expert knowledge of centrifuge modelling challenges and solutions. Advanced programming/data analysis skills. How
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should hold, or expect to achieve, a first-class or high upper second-class (2:1) honours degree (or equivalent) in Mechanical Engineering, Physics, or a closely related discipline. A relevant master’s