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approach including empirical data analysis, experiments, and theoretical modelling to develop science-based management strategies for the restoration of woodland ecosystems. We will collect, and collate from
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failure due to high-cycle fatigue, reducing the efficiency and safety of the gas-turbine engines. The development of robust damper devices that reduce the vibration levels is of paramount importance
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Supervised by: Rasa Remenyte-Prescott (Faculty of Engineering, Resilience Engineering Research Group) Aim: Develop a mathematical model for obsolescence modelling for railway signalling and telecoms
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will be key to ensuring that useful measurements, methods and representations are developed. In particular, the project will support designers to achieve driver and passenger experiences that surpass
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details This is an outstanding development opportunity for a talented individual who wishes to conduct research on children and young people with life limiting conditions and their families. Previous
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-the-counter (OTC) medicines as a source of syndromic surveillance for diseases in the community. N/LAB is a centre of excellence, developing and applying innovative research in Artificial Intelligence (AI) and
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cells or the tumor microenvironment reduces tumor growth and extends survival in preclinical models, underscoring their potential as dual-function therapeutic targets. To address this, we aim to develop
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Lead Supervisor name: Professor Katherine Appleton, email: k.appleton@bournemouth.ac.uk Project description Aims: This project aims to use a systematic approach to design, develop and test novel
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and compare discrete “events” of coordinated movement and use our recently developed “swaRmverse” analysis pipeline [2] to perform inter- and intra-species comparisons of collective movement [3]. Based
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This PhD focuses on the development of a novel approach to measuring the traction behaviour of artificial turf, supported by FieldTurf, a global leader in the production of artificial turf for sport