17 web-programmer-developer "https:" "https:" "https:" "ESS Escola Superior de Saúde" PhD positions at Loughborough University
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Volcanic islands are exciting real-world climate and landscape laboratories. When geologically young (<10Ma) they provide a simplified and spatially limited setting for testing landscape evolution
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datasets with phylogenies and environmental variables, the project aims to rapidly explore trait evolution, predict dispersal potential, and assess climate-related risks. This work bridges biodiversity
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often missed, and failures occur without warning. This PhD project aims to develop novel diagnostic techniques for earthwork asset condition appraisal and deterioration detection, helping to answer
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This project aims to bring together evidence from climate projections, risk assessment and observations to develop and evaluate event-based storylines based on recent flooding in Leicestershire, UK
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. Analysis of images will investigate the efficacy of manual digital approaches (e.g., Dot Dot Goose) and the development of a marine litter characterisation and quantification algorithm for automated analysis
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on the International website (http://www.lboro.ac.uk/international/applicants/english/ ). Funding information: Studentship type – UKRI through Flood-CDT (https://flood-cdt.ac.uk/ ). The studentship is for 3.5 years and
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Science), a global leader in marine science, the project will develop scalable, low-cost embedded vision systems to analyze marine biodiversity and detect anthropogenic debris. The core challenge is
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relevant subject. English language requirements: Applicants must meet the minimum English language requirements. Further details are available on the International website (http://www.lboro.ac.uk
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International tuition fees provided by the University. Bench fees required: No How to apply: Complete a CENTA studentship application form in Word format (available from https://centa.ac.uk/apply/ ) under
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. Development of novel processing techniques Modelling techniques that can inform the direction of experimental activity Physical, mechanical and materials characterisation techniques Data-driven approaches