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Field
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reputation for carefully designed and precisely controlled experiments, high quality temporally and spatially resolved field experiments using particle image velocimetry combined with synchronised measurements
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emerging types of national emergencies and evaluate their spatial and operational implications. This will include an analysis of UK population distributions, terrain, infrastructure access, and airspace
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climate system, yet the potential ecological consequences of climate interventions at the poles are poorly understood. This studentship will be linked to a larger project, Eco-Ice, which will provide
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framework exploiting the use of physical and geometrical conservation laws in a variety of spatial discretisation schemes (i.e. Finite Element, Finite Volume, Meshless). The resulting conservation-type
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Multiple PhD Scholarships available - Cutting-edge research at the frontiers of Whole Cell Modelling
-microscopy, proteomics and metabolomics. This project will study large protein secretion systems, drug-efflux pumps and lipid transport towers to provide means to integrate spatial information and metabolic
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, posing challenges related to administration, unstable storage conditions, and spatial constraints. Beyond logistical concerns, these collections raise critical questions regarding ownership, colonial
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to the collected dataset. Deep learning will focus on physics-based features developed earlier. Convolutional layers will be used to extract spatial patterns, while LSTM layers will capture temporal aspects across
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PhD Scholarship in Biodiversity changes of marine flora and fauna associated with ecosystem resto...
ecological condition caused by decades of excessive discharge of nutrients. This have resulted in a biodiversity crisis with massive loss of eelgrass and associated fauna in the impacted areas. At the same
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to mastering the great challenges facing society today. The Institute of Resource Ecology performs research to protect humans and the environment from hazards caused by pollutants resulting from technical
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spatial omics datasets. The position will also contribute to multi-modal data integration efforts that combine imaging, genomics, and machine learning approaches. Key Responsibilities Data Processing