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neural networks PhD Projects, Programs & Scholarships

We have 58 neural networks PhD Projects, Programs & Scholarships

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  Developing Theoretical Frameworks to Solve Outstanding Network Theory and Data Science Algorithms
Queen Mary University of London School of Mathematical Sciences
  Research Group: Complex Systems and Networks
  Dr G Bianconi
Applications accepted all year round
The School of Mathematical Sciences of Queen Mary University of London invite applications for a PhD project commencing either in September 2019 for students seeking funding, or at any point in the academic year for self-funded students.
Details
Type/Funding
  Stable deep neural network architectures
Queen Mary University of London School of Mathematical Sciences
  Research Group: Complex Systems and Networks
  Dr M Benning
Applications accepted all year round
The School of Mathematical Sciences of Queen Mary University of London invite applications for a PhD project commencing either in September 2019 for students seeking funding, or at any point in the academic year for self-funded students.
Details
Type/Funding
  Verifying Cyber-attacks in CUDA Deep Neural Networks for Self-Driving Cars
University of Manchester School of Computer Science
  Dr LC Cordeiro
Applications accepted all year round
Compute Unified Device Architecture (CUDA) is a parallel computing platform and Application Programming Interface (API) model created by NVIDIA, which extends C/C++ and Fortran, in order to create a computational model that aims to harness the computational power of Graphical Processing Units (GPUs).
Details
Type/Funding
  Formal modelling in Psychology using mathematical models, neural networks and agent-based approaches
University of Birmingham School of Psychology
  Dr D Heinke
Applications accepted all year round
I offer a PhD project in formal modelling in psychology. The PhD project will use mathematical models, neural networks and agent-based approachs.
Details
Type/Funding
  Predicting the next global geomagnetic reversal using machine learning
University of Leeds School of Earth & Environment
  Dr P Livermore, Dr C Davies
Application Deadline: 7 January 2019
The Earth’s magnetic field, generated by turbulent convection in the liquid outer core, has reversed many times over its 3.5 billion-year history, at a present rate of about 2-3 times per million years (Stern, 2002) The last global reversal took place 780,000 years ago, leading to speculation that we are “overdue”.
Details
Type/Funding
  The Automatic BioData Scientist: Neural approaches for stochastic disease modelling
University of Birmingham Alan Turing Institute Doctoral Scholarship
  Dr C Yau
Application Deadline: 22 January 2019
Mathematical models of disease evolution seek to specify the complex mechanistic relationships between many measurable quantities over space and time.
Details
Type/Funding
  Intelligent estimation of the structural connectivity of neuronal cultures
University of Reading School of Biological Sciences
  Prof S Nasuto, Dr E Delivopoulos, Dr N Vasudevan
Applications accepted all year round
The vast majority of cognitive theories as well as computational neuroscience models are concentrating on the computational properties of neurons, circuits and systems, effectively reducing intelligence to disembodied information processing engine.
Details
Type/Funding
  Biologically Inspired Deep Learning for Speech Information Processing
University of Manchester School of Computer Science
  Dr K Chen
Applications accepted all year round
Deep learning is a machine learning methodology via using hierarchical architectures of many layers to learn abstractive yet informative representations from raw data.
Details
Type/Funding
  Spintronics-based Neuromorphic Computing for Deep Learning
University of Manchester School of Computer Science
  Dr C Moutafis
Applications accepted all year round
This project aims to propose new models for neuromorphic computing based on promising spin electronics (spintronics) technologies (i.e.
Details
Type/Funding
  Computer Science
University of Exeter
 The Computer Science department brings together Computer Scientists and Mathematicians working on a variety of modern-day, interdisciplinary topics including problems of knowledge representation, machine learning, optimisation, image and signal processing.
Details
Type/Funding
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