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Post-embryonic development and anatomy of the zebrafish inner ear School of Biosciences PhD Research Project Self Funded Prof T T Whitfield, Dr E Noel Application Deadline: Applications accepted
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Development of new Gaussian basis sets for the lanthanides School of Mathematical and Physical Sciences PhD Research Project Self Funded Dr JG Hill Application Deadline: Applications accepted all
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extraction? What would be the best choice of solvent? What is the optimal route to recycle the water in the fermentation broth? Answering these questions requires us to develop new design algorithms. It is
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are inherently highly complex. In this research project you will use state of art AI-based optimization algorithms to develop new functionality into industry-relevant digital design tools (CAD) to support
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Model Based Design and Flight Testing of a Vertical Take-Off Vertical Landing Rocket (C3.5-MAC-John)
Landscape Award at the University of Sheffield. This project will develop a Vertical Take-Off Vertical-Landing (VTVL) rocket, also known as a “propulsive lander” or “hopper”. The technologies developed and
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, autonomous learning agents are likely to take an active role in human society, engaging in daily interaction and collaboration with humans. Developing learning algorithms that enable these agents to produce
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into their training process. By fusing the theoretical rigour of control theory with the flexibility of deep learning, the goal is to develop a new framework to train magnetic control algorithms for tokamak reactors
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Developing a clinical pathway to support nurse led whole genome sequencing for neurological diseases
Developing a clinical pathway to support nurse led whole genome sequencing for neurological diseases School of Medicine and Population Health PhD Research Project Self Funded Dr A McNeill
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The control of plant productivity and development by chloroplast signals School of Biosciences PhD Research Project Self Funded Dr S Casson Application Deadline: Applications accepted all year round
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with emerging neuroscience evidence that synapses perform nonlinear transformations rather than merely transmitting signals. This project aims to develop and analyse local learning rules for KANs