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deep learning PhD Projects, Programs & Scholarships

We have 145 deep learning PhD Projects, Programs & Scholarships

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  PhD Industrial CASE studentship - Deep Learning for Face Image Analytics - Development of strategies for extracting facial attribute knowledge from deep learning architectures on image data
  Dr J Bacardit
Applications accepted all year round
Number of awards. 1. Start date and duration. Academic year 2018/2019 for 4 years. Application closing date. We would like to keep this advert open until a suitable candidate has been identified.
  Deep Learning Driven Intelligent Internet of Things (RDF19/EE/CIS/WEI)
  Prof B Wei
Application Deadline: 25 January 2019
Internet of Things (IoT) have been widely applied in many fields, such as smart homes/cities and industry monitoring, as an indispensable enabler to the realisation of Industry 4.0.
  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.
  Deep learning algorithms for evolutionary inferences from contemporary and ancient DNA data
  Dr M Fumagalli, Prof X Hong
Application Deadline: 31 December 2018
One of the most elusive questions in evolutionary biology is to what extent adaptation has shaped genomes of extant species and populations.
  Deep learning for well-being assessment using wearable data - PhD
  Dr R Paulin
Application Deadline: 30 April 2019
Summary. Photoplethysmography (PPG) is widely used in wearables to record heart activity.
  Deep Learning to mine genomics datasets
  Dr J Lees
Application Deadline: 3 January 2019
High throughput experiments that generate complex / information rich datasets are increasingly found in biology. However, to fully mine and visualise these datasets it is necessary to make use of computational methods using various bioinformatic approaches.
  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.
  Biologically Inspired Deep Learning for Speech Information Processing
  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.
  Implementation of Intelligent Intrusion Detection System using Optimized Deep Learning (Advert Reference: RDF19/EE/CIS/ISSAC)
  Dr B Isaac
Application Deadline: 25 January 2019
The proliferation of Internet of Things (IoT) comes with it scores of end devices without proper security design and this adds to the challenge of network security.
  Information Component Analysis via Deep Learning
  Dr K Chen
Applications accepted all year round
As their prominent characteristics, perceptual data often convey the mixing information, which often results in the inadequate performance for a specific perceptual information processing task due to the interference of irrelevant information components.
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