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Applied Physics PhD Projects, Programs & Scholarships in Reading

We have 13 Applied Physics PhD Projects, Programs & Scholarships in Reading

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Showing 1 to 10 of 13
  Learning to Learn: Multi-Task learning, transfer learning and meta-learning
  Dr V Ojha
Applications accepted all year round

Funding Type

PhD Type

Multi-task learning, transfer learning, and meta-learning are three dimensions (sub-fields) of learning techniques, strategies and frameworks currently being investigated in machine learning communities.
  Complex network control of stem cell derived cultures
  Prof S Nasuto, Dr E Delivopoulos, Dr Y Hayashi
Applications accepted all year round

Funding Type

PhD Type

"In order to create a next generation of interfaces between prosthetic devices and the nervous system or to create next generation of intelligent robots – hybrids between artificial and biological systems, it is necessary to understand the principles that allow biological networks to achieve control of bodies.
  Super-resolved Terahertz Microscopy for Cellular Imaging
  Dr J Bowen
Applications accepted all year round

Funding Type

PhD Type

"The goal of this research project is to develop a new terahertz microscopy technique for the imaging of live cells with a spatial resolution of better than 1 micrometre.
  Machine learning for affective manipulation in music Brain Computer Interfaces
  Prof S Nasuto, Prof F Hwang
Applications accepted all year round

Funding Type

PhD Type

"At the University of Reading we have created one of the first music Brain Computer Interfaces – a system that monitors the emotional states of the subject and as a result generates commands changing the nature of synthetically generated live music in order to drive the emotional state of the subject in the desired direction.
  Artificial Intelligence based analysis and exploration of medical, health and biobank data
  Dr V Ojha
Applications accepted all year round

Funding Type

PhD Type

A large number of forums offer medical and health-related data such as UK Biobank. In this project, we explore the potential of machine learning tools and techniques to efficiently solve the problem of a large domain.
  Deep learning for Image and Video Processing and Information Retrieval
  Dr V Ojha
Applications accepted all year round

Funding Type

PhD Type

In the age of large scale automation and data explosion, deep learning offers means to process unstructured image data and allow us to receive a large amount of information.
  A new approach to modelling complex human/robot movement dynamics using techniques from machine learning
  Prof X Hong, Prof W Harwin, Prof R Mitchell
Applications accepted all year round

Funding Type

PhD Type

Advances in sensing and communications have made it easy to obtain large sets of measurements about an entity, activity or event.
  Multi-view approaches for content-based image clustering
  Prof X Hong, Dr H Wei, Prof J Ferryman
Applications accepted all year round

Funding Type

PhD Type

Human and animal learning are naturally in the so-called semi-supervised mode of learning, i.e. with a limited teaching but more of self-training experiments.
  Flow processes and turbulent exchange in urban canopies
  Dr J Barlow, Dr O Coceal
Applications accepted all year round

Funding Type

PhD Type

Most of the world’s population now experiences an urban version of weather extremes and climate change. Accurate forecasting of weather and air quality in cities relies on correctly representing the physics of turbulent exchange between the surface and the overlying atmosphere.
  Improving our understanding of ice cloud microphysics using new aircraft and multi-wavelength radar measurements
  Dr C Westbrook, Dr T Stein, Dr S Mason
Applications accepted all year round

Funding Type

PhD Type

Ice particles in clouds play an important role for both weather and climate prediction. Half of all precipitation globally is initiated through the formation of ice, while the radiative impact of ice clouds is very important because of their widespread coverage.
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