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We have 67 Engineering (neural) PhD Projects, Programmes & Scholarships

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Engineering (neural) PhD Projects, Programmes & Scholarships

We have 67 Engineering (neural) PhD Projects, Programmes & Scholarships

Computational neuroscience: Statistical signal processing for multivariate neuronal data, Neural computing with Spiking neural networks.

  Research Group: Healthcare Engineering
How does the human brain work? As you read this text, the pixels on your screen are converted into a series of spike trains passing along the neural pathways in your brain, allowing you to understand the content. Read more

Technologies for optogenetic neural interfacing

The ability to express light-sensitive proteins (opsins) in neurons, in a genetically-targeted fashion, has helped transform our understanding of how the brain functions. Read more

Autonomous Drone Surveys and Convolutional Neural Networks for Bridge Maintenance: A Predictive Approach Using Finite Element Analysis

Objective. The primary objective of this research is to develop a comprehensive framework for bridge maintenance that integrates autonomous drone surveys, convolutional neural networks (CNNs), and Finite Element analysis. Read more

Neural and behavioural correlates of speech production in Parkinson's disease

Speech is a complex task requiring highly coordinated movements of a large group of respiratory, laryngeal and articulatory muscles and involves precise integration with auditory and somatosensory feedback to plan and execute speech movements. Read more

Animats - neural culture-controlled robots for closed-loop neuroscience

The project will continue research started at the University of Reading on animats - robotic platforms controlled in real time by activity of biological neuron cultures - and will investigate the methods for implementing efficient conditioning protocols. Read more

Ultrasound Neural Interface

The Wang Lab is a biomedical research laboratory at the University of Texas at Austin led by Dr. Huiliang (Evan) Wang (https://wanggroup.bme.utexas.edu/). Read more

Intelligent and Efficient Testing and Verification of Deep Neural Networks

About the Project. Deep Neural Networks (DNNs) have demonstrated human-level capabilities in several challenging machine learning tasks including image classification, natural language processing and speech recognition. 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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