324 algorithm-development-"Multiple"-"Prof"-"Simons-Foundation" positions at University of Sheffield in United Kingdom
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Integration of renewables into energy systems-forecasting model development and analysis School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Prof Mohamed
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multiple research projects at Sheffield for the Sellafield/National Nuclear Laboratory-based Encapsulant Integrated Research Team (EIRT) focused on development of cement encapsulants to meet Sellafield and
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Development of biofidelic test-beds for assessing human interactions School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Prof M Carre, Prof R Lewis, Dr J Rongong
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of Sheffield and Nottingham, and the Alan Turing Institute. The wider focus of this research programme is to develop both physics-based and data-driven models of heart function and blood flow through
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Overview The Research Hub Manager plays a pivotal role in driving research success by providing comprehensive support for grant submissions and proposal development within an academic setting
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Overview We have an exciting opportunity for a motivated researcher educated to PhD level (or close to completion, or with equivalent experience) to contribute to the development of a system based
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the running and development of the University’s maintenance management system, attending training courses for updates on the system. · Assist in the running of the Planned Preventative Maintenance
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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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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