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We have 19 Computer Science (motion analysis) PhD Projects, Programmes & Scholarships

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Computer Science (motion analysis) PhD Projects, Programmes & Scholarships

We have 19 Computer Science (motion analysis) PhD Projects, Programmes & Scholarships

Human Motion Analysis using Computer Vision and Deep Learning

Analysis of human motion is implicitly or explicitly required in many areas such as healthcare, sports, video surveillance, body-based user interfaces and computer games and animation. Read more

Computer Vision with Deep Learning for Human Data Modelling

This project is focused on learning algorithms to model human data such as human images/video, 3D skeletal motion, 3D body/facial surfaces for computer vision tasks such as recognition, prediction and reconstruction. Read more
Last chance to apply

Low-Altitude Drone-based 3D Reconstructions for Precision Hedgerow Analysis and Biomass Estimation

The Postgraduate Research Programme MedAgriTech AI eXcellence (MATX) offers 12 PhD research scholarships to commence in 2024. Each project will include an enterprise placement of minimum 12 weeks duration. Read more
Last chance to apply

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

Remote sensing and advanced spectral analysis for coaching and rehabilitation

  Research Group: Computing, Informatics and Applications Research Group
Research Group. Computing, Informatics and Applications Research Group in collaboration with the Exeter Biomechanics Research Team (ExBiRT), University of Exeter. Read more
Last chance to apply

Accelerated Inorganic Materials Discovery Driven by Magnetic Resonance

This studentship will explore experimental and computational Nuclear Magnetic Resonance (NMR) spectroscopy approaches to probe the fast oxide ion transport (e.g., self-diffusion coefficients, diffusion pathways, dimensionality of motion) of oxide in inorganic materials aimed at establishing design rules for the discovery of next generation fast conductors. Read more

Privacy risks and countermeasures for IoT devices

IoT devices, such as smart plugs and switches, smart lightbulbs, doorbells and door locks, motion sensors, smart watches, operate within a networked home environment in frequent interaction with the user. Read more

Biomechanics and wearable sensors

Project Overview. Movement analysis and recording in humans has been confined to dedicated gait and motion capture facilities, but this only records movements for a single part of one day in an unusual environment. Read more

Foam improved oil recovery

Typically in oil and gas production, only a small fraction of the oil present manages to flow out of an oil reservoir under the reservoir’s own pressure. Read more

Generative navigation for autonomous robots using active inference

Simultaneous Location And Mapping (SLAM) is a strategy that allows autonomous mobile robots to navigate their environment. Sensors on board the robot detect walls and objects and the sensor data is used to construct a representation of the physical surroundings. Read more

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