20 machine-learning "https:" "https:" "https:" "https:" "RAEGE Az" PhD scholarships at Swansea University
Sort by
Refine Your Search
-
from working closely with its team of post-docs, associated researchers and partners (that range from Microsoft Research to the NHS). For this project you should have a strong interest in AI/Machine
-
these barriers by putting together a world-leading data resource on suicide and self-harm, and powerful machine learning methodologies compatible with epidemiological principles to produce high-quality evidence
-
nationally, statistics from 2019–2024 show that only around 26% progress beyond Entry level (CEFR A1; National Centre for Learning Welsh, 2025). Increasing these progression rates is a key aim of the Welsh
-
INTENSIVE LEARNING ACADEMY FOR INNOVATION IN HEALTH AND SOCIAL CARE The All-Wales Intensive Learning Academy for Innovation in Health and Social Care has been developed to deliver a world-class learning
-
regions. Machine learning provides a promising route to capture these relationships more systematically by identifying how local geometric features determine the resolution required for reliable prediction
-
The project will prioritise digitising these records using natural language processing (NLP) and machine learning (ML) to create structured datasets. These will support AI applications in paediatric care
-
/PYTHON/R/C programming • Application of Machine Learning Algorithms Additional Information Benefits This scholarship covers the full cost of tuition fees, an annual stipend at UKRI rate (currently
-
to demonstrate this untapped potential to the wider research world relevant to this topic. Where to apply Website https://www.swansea.ac.uk/postgraduate/scholarships/research/psychology-bilingu
-
defects. Where to apply Website https://www.swansea.ac.uk/postgraduate/scholarships/research/engineering-epsrc-… Requirements Research FieldComputer scienceEducation LevelUndergraduate Research
-
, realistic configurations and develop a skill set that is highly valued in both academic research and advanced engineering computation. Funding duration – 3 years Where to apply Website https