17 postdoctoral-laminate-composite-simulation PhD positions at University of Nottingham
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of mechanical and robotic systems •Ability to use finite element modelling and to simulate complex mechatronics •Ability to implement control and kinematics with hardware-in-the–loop •Background with relevant
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suit someone with a desire to explore the biochemical composition and biological activity of GAGs. A good grounding in biochemistry/biology/chemistry/biophysics is essential and you will need to be
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technology review to understand this technology and its recent development for electrical engineering application. Real-time simulation platform skills development including Typhoon and SpeedGoat. Development
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properties in a few compositional series of network glasses, from which key compositions to study in the molten state will be selected. Improved understanding of melt structure will have a major impact on
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, compositional practice, and conceptions of Western Classical music in the Caribbean were shaped by economic and cultural imperialism, by colonial structures of power and knowledge, exploitative practices, and
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Institutes (Research Institutes of Sweden) to large industrial manufacturers (UPM-KYMMENE ). The student will also work alongside a Postdoctoral researcher at Nottingham to design and create small scale
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, combustion, and process optimisation. The project is focussed on the development of novel interface capturing Computational Fluid Dynamics methods for simulating boiling in Nuclear Thermal Hydraulics
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explore or optimise the flexible structures and manufacturing process of Litz wires. This studentship offers the opportunity for the PhD student to lead the development of innovative simulation tools
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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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application. Real-time simulation platform skills development including Typhoon and SpeedGoat. Development of real-time digital twin (physical or Artificial Intelligent based) of electric propulsion system