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We have 33 Machine Learning PhD Projects, Programmes & Scholarships in Cardiff

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Computer Science

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Cardiff  United Kingdom

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Machine Learning PhD Projects, Programmes & Scholarships in Cardiff

We have 33 Machine Learning PhD Projects, Programmes & Scholarships in Cardiff

Applying novel imaging methods and machine learning techniques to advance in-vivo knee biomechanics analysis

3 years full time start date July/October 2024. Project Summary. This is an opportunity to work on an exciting project focussed on machine learning applied to in-vivo knee biomechanics working with Cardiff University, Imperial College, Katholieke Universiteit Leuven and University of Florida. Read more

Data-Centric Solutions for Earth Observation Challenges: Developing Cutting-Edge Techniques for Remote Sensing Analysis [SELF-FUNDED STUDENTS ONLY]

In today's data-driven landscape, the importance of data-centric machine learning methodologies cannot be overstated where they prioritize the quality, diversity, and accessibility of data, recognizing that the performance and reliability of machine learning models heavily depend on the data they are trained on. Read more

Model Predictive Control for Autonomous Vehicles and Robots [SELF-FUNDED STUDENTS ONLY]

  Research Group: Visual Computing
Model predictive control (MPC) is a family of modern control methods that have demonstrated impressive performance in a variety of scenarios, including in robotics and autonomous vehicle control. Read more

Quantum Leap in Medical Diagnosis: Advanced Magnetic Resonance Spectroscopy for Metabolite Quantification [SELF-FUNDED STUDENTS ONLY]

Magnetic resonance spectroscopy (MRS) offers a powerful, non-invasive window into the body's biochemistry. By analyzing the unique spectral signatures of small molecules called metabolites, involved in essential cellular processes, MRS has the potential to revolutionize disease diagnosis. Read more

Model Predictive Control for Autonomous Vehicles and Robots [Self Funded Students Only]

Model predictive control (MPC) is a family of modern control methods that have demonstrated impressive performance in a variety of scenarios, including in robotics and autonomous vehicle control. Such methods rely on models that can predict a system's future behaviour in response to control inputs in order to find the optimal actions that drive the system to a desired state. Read more

Characterisation of tissue microstructure from non-invasive MRI using Machine Learning

The characterisation of biological tissue microstructure in vivo and non-invasively is of outmost interest in science. If successful, it could reveal unique insights into biological processes, including aging and cancer. Read more

Chess as a platform for inherently interpretable AI research [Self-Funded Students Only]

  Research Group: Visual Computing
The way in which AI systems make decisions is often different from the approach a human takes. Thus, the operation of an AI system may be difficult to interpret and learn from, and poses the problem of user trust. Read more

Advanced Computational Image Analysis for Marine Debris Monitoring via Remote Sensing [SELF-FUNDED STUDENTS ONLY]

  Research Group: Visual Computing
Marine debris and floating plastic pollution are an emerging environmental problem since they pollute the ocean, air and food whilst endangering the ocean wildlife through their ingestion and entanglement. Read more

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