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gpu PhD Projects, Programs & Scholarships

We have 15 gpu PhD Projects, Programs & Scholarships

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  Spintronics-based Neuromorphic Computing for Deep Learning
  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.
  Numerical modelling and analysis of multiphase flows based on machine learning
  Dr K Yokoi
Application Deadline: 19 April 2019
The project aims to develop numerical framework which can be applied to various multiphase flow problems (gas-liquid, gas-liquid-solid, etc.) in engineering and scientific research fields such as energy, environment and manufacturing.
  Machine Learning; Data Mining
  Prof A Balinsky
Application Deadline: 15 March 2019
Deep Learning is another name for a set of algorithms that use a neural network as an architecture.
  Large-scale Urban Reconstruction, Classification, and Rendering from Remote Sensor Imagery
  Prof C Poullis
Applications accepted all year round
This project addresses the current technological difficulties of rapid and automatic reconstruction of large scale areas and seeks solutions for the development of accurate, robust and scalable methods and systems for processing the big data captured by active and passive sensors in order to produce a realistic virtual representation.
  Parallel simulations in statistical physics
  Dr M Weigel
Application Deadline: 18 March 2019
Population annealing is a sequential Monte Carlo scheme applicable to studying systems in statistical, condensed matter and biophysics that is potentially able to make use of highly parallel computational resources as provided by petaflop and future exaflop machines.
  Advanced Image Processing Techniques for Complex Multidimensional Imaging Data
  Dr B Obara
Applications accepted all year round
PhD in Computer Science at Durham University, UK. The project will develop techniques and methods for processing and analysis of complex multidimensional image data, with applications in biology, medicine, engineering, remote sensing, and arts and humanities.
  Deep Learning / Bioinformatics Approach for Protein-Protein Interaction Prediction
  Dr JC Nebel
Applications accepted all year round
Since most molecular processes rely on protein–protein interactions PPIs), knowledge of those interactions is extremely valuable for biomedical research and drug design.
  Deep Learning on FPGAs: using FPGAs to accelerate deep learning algorithms
  Dr H Ji
Applications accepted all year round
Reference Number. HJ-2018-1-PhD. Project Summary. Deep learning algorithms use extremely large data sets thus are computational extensive.
  Photogrammetry for Fine-Scale 3D Model Acquisition
  Dr T Collins
Applications accepted all year round
Research Institute Reference Number. EMRC-TC-2018-1-PhD. Project Summary. The focus of this project is on the photogrammetric acquisition of 3D virtual objects.
  A combined framework of machine learning and full waveform inversion for electromagnetic sensing of infrastructure (Advert Reference: SF18/MCE/WARREN)
  Dr C Warren
Applications accepted all year round
Electromagnetic sensing systems, such as Ground Penetrating Radar (GPR), are critical tools to allow us to evaluate the condition of surface and sub-surface infrastructure.
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