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We have 94 remote PhD Projects, Programmes & Scholarships

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remote PhD Projects, Programmes & Scholarships

We have 94 remote PhD Projects, Programmes & Scholarships

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

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

Super-Smart Textiles: A Self-Powered Wearable Technology for Remote Health Monitoring (Ref: UF-ID-2024)

According to the World Health Organisation, over 1 billion of the global population suffer from disabilities. However, access to rehabilitation care has been a global issue due to lack of resources including infrastructure and trained professionals. Read more

Remote ischaemic conditioning: a novel approach to reduce hypertrophy?

Cardiac hypertrophy is a significant clinical issue. Enlargement of the heart caused by hypertension, injury or other disease, can cause increased muscle mass, increased fibrous tissue and lead to poor function, stiffer hearts and ultimately heart failure. Read more

Remote Non-Contact Sensing for Physiological Signals

Non-contact sensing technology has gained significant attention in recent years due to its potential applications in healthcare, sleep monitoring, and emergency scenarios. Read more

Crop Type Classification Using Optical Remote Sensing

Crop type mapping at the field level is necessary for a variety of applications in agricultural monitoring and food security. In this thesis, the goal is to develop a suitable deep neural network architecture that could detect different crop types in remote sensing images. Read more

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