20 machine-learning "https:" "https:" "https:" "https:" "RAEGE Az" PhD positions at Swansea University
Sort by
Refine Your Search
-
duration: 3 years Where to apply Website https://www.swansea.ac.uk/postgraduate/scholarships/research/fse-epsrc-phd-high… Requirements Research FieldOtherEducation LevelUndergraduate Skills/Qualifications
-
will be translation of research into real world impact and providing evidence for policy and practice. Where to apply Website https://www.swansea.ac.uk/postgraduate/scholarships/research/suicide
-
duration – 4 years Where to apply Website https://www.swansea.ac.uk/postgraduate/scholarships/research/mathematics-epsrc-… Requirements Research FieldOtherEducation LevelMaster Degree or equivalent Skills
-
adverse pregnancy Where to apply Website https://www.swansea.ac.uk/postgraduate/scholarships/research/medical-and-health… Requirements Research FieldOtherEducation LevelMaster Degree or equivalent Skills
-
the listed PhD project supervisor to see what is feasible. Where to apply Website https://www.swansea.ac.uk/postgraduate/scholarships/research/environmental-bios… Requirements Research FieldTechnologyEducation
-
IR heating, particularly for those facing fuel poverty. Where to apply Website https://www.swansea.ac.uk/postgraduate/scholarships/research/engineering-hersch… Requirements Research
-
refinement or a loss of fidelity in critical regions. Machine learning provides a promising route to capture these relationships more systematically by identifying how local geometric features determine the
-
Wales, meaning most paediatric records are handwritten and unstructured. The project will prioritise digitising these records using natural language processing (NLP) and machine learning (ML) to create
-
, and space hardware. This PhD research aims to develop a comprehensive Mode Selection Framework for Reduced Order Modelling (ROM) in Structural Dynamics—using machine learning to build robust
-
shaving/shifting, voltage and frequency support, and virtual inertial response. Due to the volatile and intermittent nature of RESs, in this project, machine learning (ML) methods are used to accurately