325 algorithm-development-"Multiple"-"Prof"-"Prof" positions at University of Sheffield in United Kingdom
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Development of a novel material model for machining prediction School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Prof Hassan Ghadbeigi Application Deadline
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Engineering at the University of Sheffield, where you will develop your research and professional skills alongside multiple researchers focused on CFD and boiling modelling. Confident and reliable estimation
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have experience of working to funder guidelines / eligibility criteria, have excellent organisation skills and be able to work to multiple deadlines across a range of projects. Excellent communication
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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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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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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