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neural networks PhD Projects, Programs & Scholarships

We have 87 neural networks PhD Projects, Programs & Scholarships

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  Computational neuroscience: Statistical signal processing for multivariate neuronal data, Neural computing with Spiking neural networks.
  Research Group: Intelligent Systems and Nanoscience
  Dr D Halliday
Applications accepted all year round

Funding Type

PhD Type

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.
  Optimisation methods for (deep) neural networks
  Dr C Grosan
Applications accepted all year round

Funding Type

PhD Type

A machine learning algorithm can be viewed as a mapping between inputs and outputs, with the scope of optimising and tuning the parameters that describe it so that the performance is improved.
  Scalable and Energy-Efficient Multi-Building and Multi-Floor Indoor Localisation/Navigation based on Deep Neural Networks with a Multivariate Database
  Dr K Kim
Applications accepted all year round

Funding Type

PhD Type

The candidate should have a first class or upper second class honours degree, or a master’s degree (or equivalent qualification), in Evidence of good spoken and written English is essential.
  Development of Convolutional Neural Networks and Associated Error Estimation Techniques for Vertebral Segmentation in Axial Computed Tomography Image Slices
  Dr N Thacker, Dr P Bromiley
Applications accepted all year round

Funding Type

PhD Type

Osteoporosis is a common skeletal disorder that increases the risk of fractures and causes significant morbidity and mortality. Vertebral fractures (VFs) are often an early manifestation of osteoporosis but are significantly under-diagnosed in clinical practice.
  PhD Scholarship in Modelling Statistical Uncertainty in Convolutional Neural Networks
  Dr I Simpson
Application Deadline: 30 June 2020

Funding Type

PhD Type

In the real world, decisions are typically made under some level of uncertainty as we rarely have access to perfect information or complete knowledge about a problem.
  Deep neural networks for omni-modality MSK image analysis
  Dr A Kumar, Prof D Feng, Assoc Prof J Kim, Prof M Fulham
Applications accepted all year round

Funding Type

PhD Type

Proposed Training. The project will provide advanced technical training in the optimisation of deep neural networks for computerised medical image analysis to transform current clinical approaches lo image-based biomarker discovery.
  Biologically-Plausible Continual Learning
  Dr K Chen
Applications accepted all year round

Funding Type

PhD Type

Continual learning (aka lifelong learning) refers to a problem on how a learning system learns multiple tasks in succession over the lifespan where later tasks do not degrade the performance of the system learned for the earlier tasks and, ideally, the system can leverage the knowledge learned in previous tasks to facilitate learning the new tasks better.
  Generative Adversarial Networks for Rare Event Augmentation
  Prof O Jones, Dr V Knight
Applications accepted all year round

Funding Type

PhD Type

This project will produce synthetic data generation methods for creating synthetic data in data-limited situations, allowing the user to subsequently apply modern data intensive techniques, and hence make better decisions.
  PhD in Computing Science - Towards all-optical neural networks
  Dr A Turpin, Prof R Murray-Smith
Application Deadline: 30 June 2020

Funding Type

PhD Type

Background. The University of Glasgow (UofG) is home to world-leading research in the fields of imaging and computing science. UofG is also home to the UK Hub for Quantum Imaging Technologies, QuantIC (https://quantic.ac.uk/) who are funding this PhD research project.
  Applied Machine Learning And Cybersecurity
  Dr C Chrysoulas, Dr N Pitropakis
Application Deadline: 7 June 2020

Funding Type

PhD Type

Today, it’s impossible to deploy effective cybersecurity defence layers without relying heavily on machine learning. There are several reasons why machine learning considered so crucial to cybersecurity.
  How artificial intelligence can improve nuclear physics?
  Research Group: Nuclear Physics
  Dr A Pastore, Dr C Barton
Application Deadline: 31 May 2020

Funding Type

PhD Type

In recent years, thanks to the remarkable progress in the domain of artificial intelligence, we have now at our disposal very powerful tools to help our scientific investigation.
  Biologically-plausible neural network models of movement control algorithms
  Dr A Gilra
Applications accepted all year round

Funding Type

PhD Type

A number of neural network implementations of control theory algorithms have been proposed, especially with the recent rise of machine learning.
  PhD studentship in Optimisation of Bayesian Networks and Probabilistic Models for Hardware Acceleration
  Dr C-S Bouganis
Application Deadline: 30 June 2020

Funding Type

PhD Type

The focus of this project is to investigate and develop methodologies and approximation schemes for the efficient mapping of probabilistic models such as Bayesian Neural Networks on low-power embedded devices such as CPUs, NPUs, and FPGAs.
  Self-Supervised Learning and Variational Inference for adaptation in Deep Learning
  Dr G Leontidis
Application Deadline: 1 June 2020

Funding Type

PhD Type

We are looking for a highly motivated prospective PhD student to undergo a 3-year fully funded PhD project on Machine/Deep Learning foundations/theory and applications within the Department of Computing Science at the University of Aberdeen (UoA).
  BioVision: bio-inspired computer vision using deep architectures (Advert Reference: SF19/EE/CIS/BELATRECHE)
  Dr A Belatreche, Dr F Khelifi
Applications accepted all year round

Funding Type

PhD Type

The primate visual system outperforms the existing automated vision systems in almost all measures.
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