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Displaying 1–12 of 29 results

Modelling and managing uncertain Antarctic species networks

Antarctic ecosystems are complex, and data is limited since it is expensive to collect. Species interact in food webs which can be modelled as mathematical networks. The relationships between species are not always known, or we might know they interact but not how strongly. Noisy (or imperfect) data can be used to model these species interactions to give more certainty about how the ecosystem works as a whole – although the worse the data is, the less information it contributes. …

Study level
Honours, Vacation research experience scheme
Faculty
Faculty of Science
School
School of Mathematical Sciences
Research centre(s)
Centre for Data Science
Centre for the Environment

Statistical methods for detecting Antarctic ecosystems from space

Satellite images are a frequent and free source of global data which can be used to effectively monitor the environment. We can see how the land is being used, how it’s being changed, what’s there – even where animals are in the landscape. Using these images is essential, particularly for regions where data is expensive to collect or difficult to physically access, like Antarctica. In Antarctica and the sub-Antarctic islands, satellite images can be an easy and quick way to …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Science
School
School of Mathematical Sciences
Research centre(s)
Centre for Data Science
Centre for the Environment

Ecological interactions in Antarctic ecosystems

Antarctic and sub-Antarctic terrestrial ecosystems are dominated by mosses, lichens, invertebrates and some vascular plants. Marine vertebrates (penguins, seals, seabirds) also play an important role in driving terrestrial processes. All these species are influenced by many environmental and biotic factors, including interactions between species. Determining the impacts of climatic and environmental change on Antarctic and sub-Antarctic biodiversity requires greater understanding of these interactions.Ecological data on species interactions and the drivers of these interactions are an essential part of Antarctic and …

Study level
PhD
Faculty
Faculty of Science
School
School of Biology and Environmental Science
Research centre(s)
Centre for Data Science
Centre for the Environment

Movement ecology of the iconic ghost bat

Study level
PhD, Master of Philosophy
Faculty
Faculty of Science
School
School of Biology and Environmental Science

Comprehensive strain-level characterisation of microbial communities associated with inflammatory bowel disease

Inflammatory bowel disease (IBD) is a chronic, relapsing inflammatory disorder driven by complex interactions between environmental, microbial and immune-mediated factors 1,2. An unfavourable shift in gut microbiome composition, known as dysbiosis, is now considered a key feature of IBD 2-5, however it is unclear how specific microorganisms and their interactions with host cells contribute to disease onset and progression.Previous IBD studies have been largely limited to older sequencing methods with low phylogenetic and functional resolution. Furthermore, these studies have predominantly …

Study level
Master of Philosophy, Honours
Faculty
Faculty of Health
School
School of Biomedical Sciences
Research centre(s)

Centre for Microbiome Research

Illuminating the microbial world using genome-based fluorescence microscopy

Our understanding of microbial diversity on earth has been fundamentally changed by metagenomic characterisation of natural ecosystems. Traditional approaches for visualising microbial communities are time-consuming and provide limited information about the identity of specific microorganisms.The proposed research aims to combine single cell genomics and super resolution microscopy for novel, high-throughput, genome-based techniques to visualise microorganisms, plasmids and viruses, with strain level specificity.The application of these highly scalable approaches will provide comprehensive and unprecedented insight into the fine-scale dynamics and evolution …

Study level
PhD
Faculty
Faculty of Health
School
School of Biomedical Sciences
Research centre(s)

Centre for Microbiome Research

Strain-level characterisation and visualisation of microbial communities associated with inflammatory bowel disease

Inflammatory bowel disease (IBD) is a chronic, relapsing inflammatory disorder driven by complex interactions between environmental, microbial and immune-mediated factors. An unfavourable shift in gut microbiome composition, known as dysbiosis, is now considered a key feature of IBD, however it is unclear how specific microorganisms and their interactions with host cells contribute to disease onset and progression. Previous IBD studies have been largely limited to older sequencing methods with low resolution. Furthermore, these studies have predominantly focused on bacterial populations, …

Study level
PhD
Faculty
Faculty of Health
School
School of Biomedical Sciences

Adaptive evolution of anaerobic methanotrophic (ANME) archaea mediating methane oxidation in freshwater environments (PhD)

The as-yet-uncultured archaeal lineage Methanoperedenaceae are anaerobic methanotrophs with a key role in mitigating the atmospheric release of methane in freshwater environments. The metabolic diversity of these microorganisms directly links methane with several key biochemical cycles and suggests a remarkable ability of these microorganisms to adapt to diverse environmental conditions.The overall aim of this PhD project will be to uncover the metabolic diversity of the Methanoperedenaceae and to understand the evolutionary mechanisms responsible for these adaptations.Methods and ResourcesThe project will …

Study level
PhD
Faculty
Faculty of Health
School
School of Biomedical Sciences
Research centre(s)

Centre for Microbiome Research

Metabolic diversity of the anaerobic methanotrophic (ANME) archaea mediating methane oxidation in freshwater environments

The as-yet-uncultured archaeal lineage Methanoperedenaceae are anaerobic methanotrophs with a key role in mitigating the atmospheric release of methane in freshwater environments. The metabolic diversity of these microorganisms directly links methane with several key biochemical cycles and suggests a remarkable ability of these microorganisms to adapt to diverse environmental conditions.The overall aims for a potential Honours/MSc project will be to uncover the metabolic diversity of the Methanoperedenaceae and to understand the evolutionary mechanisms responsible for these adaptations.

Study level
Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Faculty of Health
School
School of Biomedical Sciences
Research centre(s)

Centre for Microbiome Research

Application of fluorescence-activated cell sorting and confocal microscopy for the study of the microbial communities responsible for nutrient removal from domestic wastewater

The removal of nutrients like carbon, nitrogen and phosphorus from wastewater is critical to the prevention of eutrophication in receiving water systems and is carried out by complex microbial communities.Eutrophication can have devastating consequences on aquatic life and natural ecosystems, with toxic algal blooms also posing a risk to human health.Understanding the microbiology of phosphorus (P) removal from wastewater is considered essential to knowledge-based optimisation of enhanced biological P removal (EBPR) systems.Most of the species in these systems are novel …

Study level
Honours
Faculty
Faculty of Health
School
School of Biomedical Sciences
Research centre(s)

Centre for Microbiome Research

Biophysical models in humans and nature

Biophysical models are developed to represent key processes in humans and nature, from the electrophysiology of the human heart, to calcium carbonate skeleton production of coral reefs.In this project, we will explore biophysical model development across multiple fields, to identify commonalities, strengths and weaknesses, and identify analysis techniques ubiquitous in one field that can be immediately exploited to improve science in another field.

Study level
Vacation research experience scheme
Faculty
Faculty of Science
School
School of Mathematical Sciences
Research centre(s)
Centre for Data Science

Mathematical modelling of ecosystem tipping points in Antarctica

Slight variations in the seasonal timing of Antarctic ice melt can drastically shift the composition of local shallow-water ecosystems from being dominated by invertebrates to algae instead. Such "tipping point" events may become commonplace in the future due to climate change, not just in Antarctica but in many ecosystems worldwide.This project seeks to develop mathematical models of the interactions between Antarctic environmental conditions and the local shallow-water ecosystem states. These models could then be used to make predictions about the …

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Faculty of Science
School
School of Mathematical Sciences
Research centre(s)
Centre for Data Science
Centre for the Environment

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