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Optimization-based control explores the use of optimization algorithms for feedback control of dynamical systems. For example, model predictive control (MPC) is a widely used optimization-based control method
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in handling stall onset and recovery. This project will focus on the modelling and control of hysteresis effects, under the framework of numerical optimal control. The aim is to develop advanced
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adapted based on the abilities and needs of patients. Moreover, automatic intelligent algorithms will be developed in to make the control intuitive, natural and adaptive. Such that the model can learn new
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to establish a research portfolio and technology roadmap around the remit of the development of AM processes, materials, AM process simulations, online/offline process monitoring and control tools as
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. Identify, create and provide a training and development programme tostaff on contracts and contract negotiation. Develop and implement an efficient contracting process, including an appropriate, transparent
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developing and expanding the CTRU portfolio into trials of cancer interventions. Leading a unit of nearly 100 researchers that sits in the School of Medicine and Population Health, you will make a full
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of research grants in more than 30 UK Universities and plays a major role in UK semiconductor research through the provision of world class epitaxial materials. You will be responsible for the development
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opportunity and platform to contribute to research and development of seismic hazard, vulnerability and exposure models to understand risk in Uganda and enhance the resilience of the country against earthquakes
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project may also contain an application side where you can test your algorithms on power systems and energy markets. This is a 3.5 year scholarship. This funding opportunity is open to both home and
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research programme is to use genetic, molecular and cellular, and imaging/image analysis approaches to understand the development and function of the vertebrate inner ear, the organ of hearing and balance