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Mathematics (building materials) PhD Projects, Programs & Scholarships

We have 6 Mathematics (building materials) PhD Projects, Programs & Scholarships

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  Energy Resilience and the Built Environment (ERBE CDT) fully funded PhDs at Loughborough, UCL (UK) and MaREI (IRL)
Application Deadline: 6 September 2019

Funding Type

PhD Type

The new EPSRC CDT in Energy Resilience and the Built Environment (ERBE) brings together established energy research centres at Loughborough University (LU) and University College London (UCL) together with the MaREI Research Centre (MaREI) (Ireland).
  Energy Resilience and the Built Environment (ERBE CDT) fully funded PhDs at Loughborough, UCL (UK) and MaREI (IRL)
Application Deadline: 6 September 2019

Funding Type

PhD Type

The new EPSRC CDT in Energy Resilience and the Built Environment (ERBE) brings together established energy research centres at Loughborough University (LU) and University College London (UCL) together with the MaREI Research Centre (MaREI) (Ireland).
  Stress modulated antiferromagnetism in thin film heterostructures
  Prof A J Bell
Application Deadline: 3 January 2020

Funding Type

PhD Type

In the challenge to develop new, high- density logic and memory devices, the concept of employing electron spin transport as the data vector (i.e.
  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.
  Information Component Analysis via Deep Learning
  Dr K Chen
Applications accepted all year round

Funding Type

PhD Type

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.
  Zero-Shot Learning and Applications
  Dr K Chen
Applications accepted all year round

Funding Type

PhD Type

Zero-shot learning refers to a novel paradigm on learning how to recognise new concepts by just having a description of them. For example, zero-shot learning works on a setting of solving a classification problem when no labelled training examples are available for all classes, which are divided into two class subsets.
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