330 algorithm-development-"Multiple"-"Prof"-"Prof"-"Simons-Foundation"-"U" 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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key stakeholders, including IT Services, in supporting the implementation, management and development of the key systems that enable the success of our staff. You will lead on the configuration and
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responsibilities Design, deliver, assess, and evaluate campus based Data Science programmes. This will include identifying learning objectives, selecting appropriate curricula and teaching methods. Prepare and
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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