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We have 16 Machine Learning PhD Projects, Programmes & Scholarships for European Students (exc UK) in Leeds
Machine Learning PhD Projects, Programmes & Scholarships for European Students (exc UK) in Leeds
We have 16 Machine Learning PhD Projects, Programmes & Scholarships for European Students (exc UK) in Leeds
MRC DiMeN Doctoral Training Partnership: Applying cutting-edge machine learning to rectal cancer MRI from a tertiary hospital: predicting treatment effect for chemoradiotherapy and immunotherapy
Applying cutting-edge machine learning to rectal cancer MRI from a tertiary hospital. predicting treatment effect for chemoradiotherapy and immunotherapy. . Read more
Understanding uncertainties in the measurement and simulation of Antarctic ice sheet dynamics
Background. The Antarctic Ice Sheet is the largest reservoir of freshwater on Earth. If it were to melt entirely, global sea levels would rise by an average of 58 metres. Read more
Integrated computational and biochemical investigation of EGFR-mediated cell signaling
This PhD project is focused on understanding the mechanisms of epidermal growth factor receptor (EGFR) signaling and its role in cellular processes such as proliferation, differentiation, and survival. Read more
Computer Arithmetic for the Next Generation of Integrated Circuits
Research Group:
School of Computing
The growing importance of artificial intelligence is fostering a paradigm shift in the world of hardware design. On the one hand, the increasing complexity of deep-learning models demands computers faster and more powerful than ever before. Read more
The influence of physical process representations on regional and global-scale climate model output
Background. The influence of aerosol particles on Earth’s energy balance, remains a major uncertainty in climate science. Even with increased model complexity, resolution, and data availability, aerosol and cloud interactions remain difficult to constrain, leaving gaps in understanding. Read more
Can AI-based weather and climate models enhance humanitarian response and energy planning?
Background. As climate change continues to unfold, enhanced early warning systems for natural hazards are a key part of disaster risk reduction. Read more
Integrating weather and climate information into innovations and metrics for agricultural advisories
Background. Rainfed agriculture is a vital source of food and income for subsistence farmers in Kenya. Agricultural yields across Kenya are highly impacted by variations in rainfall on timescales from days to decades, with climate change altering the profile of rainfall-related risk. Read more
Back to the Future: Ice sheet collapse, ocean circulation slowdown and abrupt climate change
Background. The Atlantic Meridional Overturning circulation (AMOC) – a large-scale system of ocean currents – is critical for keeping North American and European climates mild. Read more
Using new high-resolution ensembles to quantify uncertainty in projections of African climate processes
Background. Global models underpinning future projections struggle to capture African weather and climate change, to a large extent because the convective storms that generate tropical rainfall are below their coarse grid scale and have to be parameterised. Read more
Millennia of sea-level rise awaits: Quantifying spatial uncertainty
Background. Sea-level rise presents one of the greatest environmental challenges for the global community. However, there is deep uncertainty in future projections beyond 2100. Read more
Reducing uncertainty in the effect of clouds on climate change
Background. Clouds are the cause of very substantial uncertainty in climate models and the reliability of climate projections. Read more
MRC DiMeN Doctoral Training Partnership: Using AI to predict amyloid aggregation in neurodegenerative diseases
Neurodegenerative diseases of ageing such as Alzheimer’s and Parkinson’s diseases (AD and PD) have a huge societal and financial impact yet cost-effective therapies to delay or cure these diseases are lacking. Read more
MRC DiMeN Doctoral Training Partnership: Using AI to predict amyloid aggregation in neurodegenerative diseases
Neurodegenerative diseases of ageing such as Alzheimer’s and Parkinson’s diseases (AD and PD) have a huge societal and financial impact yet cost-effective therapies to delay or cure these diseases are lacking. Read more
Protecting UK infrastructure from landslides triggered by climate extremes
Background. Landslides impact the railway network on average three times per week, and their frequency has increased by >50% in the last ten years. Read more
Variability and future changes in European wind storm risk
Background. This project offered as part of https://unrisk-cdt.ac.uk/. European wind storms cause insured losses of around €1.4 billion per year. Read more
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