316 associate-professor-computer-"https:"-"https:"-"https:"-"https:" positions at University of Sheffield
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We are looking for an experienced administrator to support the Associate Director of Student & Academic Services (Education Development Services). You will provide comprehensive personal assistance
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computational fluid dynamics and thermodynamics, an understanding of manufacturing considerations, especially safety concerns, process design, and the operation of a range of manufacturing tools and machines
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the development of this technology. In particular, the nonlinear and high-dimensional nature of the plasma dynamics mean that the desired reference state is challenging to compute and the control gains have to
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physiological signals associated with bruxism in real-time. The successful candidate will focus on: Developing and refining novel wearable sensors that are flexible, comfortable, and capable of capturing subtle
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communication and photonic quantum computing. These technologies are no longer theoretical; they are rapidly becoming reality thanks to industrial involvement. Examples include Quandela that has delivered
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Advancing Human Motion Understanding through 3D Modelling and Foundation Models (S3.5-COM-ZChen) School of Computer Science PhD Research Project Competition Funded Students Worldwide Dr Zhixiang
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evaporation and flow patterns can disrupt the uniformity of the ink film, and in turn degrade the quality, performance, and value of the film. The PhD research programme will look to find ways to control; (i
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at the University of Sheffield. The unique properties of particles of light (photons) can enable a host of new technologies, such as quantum computing and networking. However, the realization of these technologies
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Topologically constrained physics-informed machine learning for modelling complex spin textures (S3.5-COM-Ellis) School of Computer Science PhD Research Project Competition Funded Students Worldwide
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. The research will integrate advanced full-field imaging techniques, including X-ray computed tomography, neutron tomography, and related methods, with modern machine-learning approaches such as sparse regression