Are you holding Master’s degree and looking for fully funded PhD positions? University of Exeter, England invites online application for multiple funded PhD Programs / fully funded PhD positions in various research areas.
Candidates interested in fully funded PhD positions can check the details and may apply as soon as possible. Interested and eligible applicants may submit their online application for PhD programs via the University’s Online Application Portal.
1. Fully Funded PhD Position in Developing imaging and artificial intelligence to tackle antimicrobial resistance
Summary of PhD Program:
This PhD project will use single-cell imaging and artificial intelligence (AI) approaches to detect antimicrobial resistance within bacterial populations that cause life-threatening infections such as Pseudomonas aeruginosa and Staphylococcus aureus (Orazi et al. mBio 2019). You will apply state-of-the-art, machine learning methods (deep neural networks and evolutionary algorithms) on big-data from thousands of individual bacterial (Lapinska et al. eLife 2022) to extract information on the efficacy of antibiotics against bacterial populations and rapidly predict antimicrobial resistance. Moreover, by using omics, bioinformatics and AI software, such as AlphaFold, you will identify novel and more effective antibiotics that will allow to overcome antimicrobial resistance. Therefore, this PhD offers a unique opportunity to gain cutting-edge expertise in AI, while addressing a daunting threat for our society.
Application Deadline: 21st August 2024
2. Fully Funded PhD Position in Deciphering cell-type specific effects of P2X7R antagonism in Lewy Body Dementia
Summary of PhD Program:
Lewy body dementia (LBD) is an umbrella term for diseases including dementia with Lewy bodies and Parkinson’s disease dementia, which are characterised by abnormal aggregation and deposition of asynuclein (aSyn) in affected regions of the brain. There are no available therapies for LBD. This is in part due to incomplete understanding of the mechanisms underlying these diseases. In recent years, it has become apparent that inflammation in the brain contributes to the progression of dementia, and strategies to treat dementia by reducing inflammation are under investigation. P2X7R is a receptor that is predominantly expressed by non-neuronal cells in the brain and that is considered a master regulator of brain inflammation. This project will explore the contribution of P2X7R to Lewy body dementia.
Application Deadline: 12th August 2024
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3. Fully Funded PhD Position in Unravelling Atrial Fibrillation Complexity
Summary of PhD Program:
Atrial fibrillation (AF) is a prevalent cardiac arrhythmia associated with significant morbidity and mortality [1]. However, its clinical presentation and response to treatment vary widely among individuals, highlighting the need for a deeper understanding of AF heterogeneity [2]. This interdisciplinary project aims to elucidate the complex landscape of AF through the integration of advanced statistics and machine learning techniques. Leveraging electrophysiology (EP) clinical data from the Liverpool Centre for Cardiovascular Science, Liverpool Heart and Chest Hospital NHS Foundation Trust and “big data” sources like TriNetX and UK Biobank, the study will apply innovative analytical frameworks to unravel distinct AF subtypes and identify underlying disease mechanisms.
Application Deadline: 25th August 2024
4. Fully Funded PhD Position in Integrating Spontaneous and Coherent Raman Scattering to Advance Analytical Capability
Summary of PhD Program:
The project aims to develop a novel technology that merges the complementary capabilities of Raman and coherent Raman scattering microscopy. Raman and coherent Raman scattering (CRS) are both advanced optical analytical techniques used for a wide range of materials and healthcare technologies research. Raman provides detailed molecular information based on the spectral signature of photons inelastically scattered by molecular vibrations. In contrast, CRS microscopy uses ultrafast laser pulses to drive nonlinear light-matter interactions to enhance the signal from a specific vibrational frequency to provide real-time label-free image contrast based on the intensity of a single Raman band.
Application Deadline: 19th August 2024
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5. Fully Funded PhD Position in Video Understanding in First-Person Vision
Summary of PhD Program:
Event recognition in videos has emerged as one of the most dynamic areas in computer vision. Researchers have extensively explored a wide range of topics, from recognising simple, short-term actions like running and walking, to complex, long-term multi-agent events such as surgical procedures or collaborative tasks. Typically, long videos consist of multiple actions, each composed of sub-actions with varying durations and sequences. Inspired by the natural cognitive process of breaking down complex events into smaller sub-events, this project aims to advance the parsing of action videos, with a specific focus on first-person vision.
Application Deadline: 16th August 2024
6. Fully Funded PhD Position in Will climate change worsen the problem of antibiotic resistance?
Summary of PhD Program:
The project will take advantage of available libraries of >3000 well-characterised isolates of Klebsiella spp. isolates collected from the environment and from humans. These isolates cover 15 species, including the human pathogen K. pneumoniae, have variation in resistance profiles, and have high quality genomes from previous work. This gives us an unprecedented study system to plasmid transfer and persistence across a diverse set of closely-related isolates, including many opportunistic pathogens. The experimental work will use techniques well developed from previous work, such as phenotypic assays to measure growth and plasmid transfer across temperatures, fluorescence microscopy, flow cytometry, and qPCR.
Application Deadline: 29 July 2024
7. Fully Funded PhD Position in The influence of nighttime lighting on predator-prey dynamics and the landscape of fear
Summary of PhD Program:
Artificial light at night (ALAN) is a pervasive source of anthropogenic pollution that causes widespread disruption to individual physiology, behaviour, and whole populations. The majority of terrestrial animals are nocturnal, and sensory arms races have led to the evolution of incredible low-light vision in many predator communities. However, persistent ALAN can obliterate the darkness that these predators rely on, potentially altering the landscape of fear in prey species that governs so much of animal behaviour, with potential to alter population-level dynamics and tropic cascades that have implications for conservation and biodiversity. Existing work has shown that nighttime light levels can alter the foraging behaviour of birds, and is also thought to affect their perceived predation risk.
Application Deadline: 29 July 2024
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8. Fully Funded PhD Position in Shining a light on short-term responses of moths and their predators to climate extremes
Summary of PhD Program:
Declines in wildlife are increasingly being reported across the globe, giving stark warnings for the perilous state of biodiversity. The state of insect population trends is attracting increased research interest due the vital role they play in all ecosystems (e.g. as food for birds and mammals, recycling nutrients, pollinating crops) and as indicators of climate change impacts. Recent droughts across Europe have highlighted a research need to understand their short-term (within and between days, weeks and months) responses to climate extremes in the context of longer-term (inter-annual, decadal) trends.
Application Deadline: 29th July 2024
9. Fully Funded PhD Position in Characterising the immune repertoire of a global crop pest Myzus persicae
Summary of PhD Program:
This project will characterize the immune system of the Green peach aphid M. persicae. The student will screen newly-available aphid genomes, including from other species, to learn what are the core elements of the aphid immune system. The student may further utilise a living library of 110 sequenced M. persicae strains to screen for variation in immune genes with functional importance. The student will learn BLAST, annotation, genome comparative techniques, and phylogenetics.
