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We have 259 deep learning PhD Projects, Programmes & Scholarships

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deep learning PhD Projects, Programmes & Scholarships

We have 259 deep learning PhD Projects, Programmes & Scholarships

Foundations of deep learning for scalable computational imaging

The Biomedical and Astronomical Signal Processing (BASP) laboratory at Heriot-Watt University Edinburgh (HWU), headed by Professor Yves Wiaux is recruiting a PhD student for research on foundational deep learning methodology for computational imaging in astronomy and/or medicine. Read more

Bayesian Deep Learning for cosmology with Euclid

This project will focus on the combination of cutting-edge Deep Learning and statistical methods to enable cosmological inference from next-generation facilities such as the European Space Agency’s Euclid mission. Read more

Mapping solar PV potential for existing buildings stocks in the UK by deep learning of satellite and aerial images data

Project Abstract. We are seeking an ambitious PhD candidate to join a cutting-edge research project aiming to map the solar photovoltaic (PV) potential for existing building stocks in the UK through the application of deep learning on satellite and aerial image data. Read more

Enhancing the Reliability of Deep Learning-based AI Algorithms for Endoscopic Image Analysis

These projects are open to students worldwide, but have no funding attached. Therefore, the successful applicant will be expected to fund tuition fees at the relevant level (home or international) and any applicable additional research costs. Read more

Deep learning for black hole tomography

The Biomedical and Astronomical Signal Processing (BASP) laboratory at Heriot-Watt University Edinburgh (HWU), headed by Professor Yves Wiaux is recruiting a PhD student for research on deep learning for black hole imaging. Read more
Last chance to apply

Developing a deep learning-based model to predict rehabilitation outcomes in underserved groups living with multiple long-term conditions

Summary. This project will develop a deep learning-based model (DLM) that can predict who successfully completes exercise-based rehabilitation in individuals with multiple long-term conditions (MLTCs, the coexistence of two or more long-term conditions) and who may need personalized support. Read more

Automatic Deepfakes Detection

The widespread availability of audio-visual content on social media, coupled with advanced deep learning technologies such as Diffusion Models (DM), Generative Adversarial Networks (GAN), have made it easy to generate deepfakes - a term combining “deep learning” and “fake” that facilitate the creation of realistic but false text, images, videos, and audio content. Read more

Deep learning for online Classification

In online learning, to detect the change of pattern in data stream is called drift detection. It is a pivotal problem, particularly when dealing with ongoing data streams. Read more

Sustainable and Energy-Efficient Computing through Deep Learning and Data Analytics

Applications are invited for a self-funded, 3-year full-time or 6-year part time PhD project. The PhD will be based in the School of Computing and will be supervised by Dr Hamidreza Khaleghzadeh, Dr Mohamed Bader and Dr Alexey Lastovetsky. Read more

Unconstrained Object Understanding using Deep Learning for Computer Vision in X-ray Security Screening

X-ray security screening is widely used to maintain aviation/transport security, and its significance poses a particular interest in future automated screening systems that can be deployed for transportation and border security screening alike. Read more

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