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We have 10 Physics (neural network) PhD Projects, Programmes & Scholarships

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Physics (neural network) PhD Projects, Programmes & Scholarships

We have 10 Physics (neural network) PhD Projects, Programmes & Scholarships

Develop a machine learning approach to multimodal imaging

The emergence of antimicrobial resistance (AMR) threatens to undo the advances of modern medicine, making commonplace interventions like major surgery or cancer chemotherapy effectively impossible. Read more

Bio-inspired Systems, Neuromorphic Hardware, Unconventional Computing

  Research Group: Intelligent Systems and Robotics
Applicants are invited in one, or a combination of, the following areas. Bio-inspired Systems. Wonders in Nature, including our own brains, have fascinated scientists and en- gineers for decades if not centuries. Read more

Computational imaging in low resource settings

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 computational imaging in low-resource settings. Read more

CDT-QTE: General Purpose Machine Learning Tool-Kit for Bragg Coherent Diffraction Imaging

Supervisory Team: Dr Marcus Newton, Dr Dan Porter, Prof Steve Collins, Prof Paul Quinn. Project description. This project is part of the EPSRC Centre for Doctoral Training in Quantum Technology Engineering at the University of Southampton. Read more

A multi-spectral single photon sensor for enhanced 3D vision

Autonomous systems such as self-driving cars are increasingly relying on LIDAR systems for robust environmental perception, with single-photon avalanche diode (SPAD) sensors, which detect and time individual photons of light, being one of the key underlying technologies. Read more

Adaptive sensor fusion for optimised 3D sensing

Single-photon avalanche diodes (SPAD) enable the detection and timing of individual photons of light and have become a key technology in applications such as automotive LIDAR and biomedical imaging. Read more

Photo-chemical adaptive integrated circuits for next generation neuromorphic computing

Neuromorphic computing, i.e., an approach to information processing inspired in basic morphology and working principles of the brain, is a rapidly growing area of research due to the availability of high-speed hardware and need for artificial intelligence (AI) systems across a wide range of applications. Read more
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