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of industrial cooking. The project will be based within the Centre for Sustainable Energy Use in Food Chains (CSEF) which has substantial expertise and experimental and computational facilities to support the
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the Leverhulme Trust and supervised by Dr Fraser Smith , Dr Stephanie Rossit (UEA) and Professor Tim Kietzmann (University Osnabruck, Germany). The project will determine the neural and computational mechanisms
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Trust. The successful candidate will work closely with the PI and a PhD student within a larger cross-disciplinary team to construct a quantitative computational model of carbonate biomineralisation
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control system that enhances Annual Energy Production (AEP), reduces mechanical stress, and improves fault detection using machine learning (ML) and physics-based modelling. The candidate will gain hands
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matrix mechanics, particularly in chemoresistance. Notably, the biological aspects of chemoresistance and drug efficacy screening will be the responsibility of the lab’s postdoctoral researcher, who will
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computing and analysis of data will enable the development of control mechanisms that will overcome one of the major barriers for exploiting the benefits of hybrid propellant propulsion systems. The project
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parameters/mechanisms and model outcomes by varying the parameters simultaneously over a large range of values. Once the simulations are performed, the output variability can be apportioned onto the input
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and brain tissue mechanics to improve stroke treatment. Stroke is a leading cause of death and disability worldwide, making advancements in its diagnosis and treatment highly relevant. Computational
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repair and maintenance of gas turbine engines. Applicants are invited to undertake a fully funded three-year PhD programme in partnership with Rolls-Royce to address key challenges in soft robotics
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the National Physical Laboratory (NPL) and Waters-TA Instruments, this project will investigate key measurement techniques, such as thermal analysis, rheology, and mechanical testing, to characterise