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Applied Physics (human) PhD Projects, Programs & Scholarships

We have 28 Applied Physics (human) PhD Projects, Programs & Scholarships

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Showing 1 to 15 of 28
  Investigating the relationship between human responses and major safety incidents in the process industries
  Dr E Ventura-Medina
Applications accepted all year round

Funding Type

PhD Type

Typically safety events, including major safety incidents, can have far reach consequences in terms of losses for businesses and society as a whole.
  PhD projects for Quantitative Scientists at the MRC Human Genetics Unit

Funding Type

PhD Type

 "Are you a graduate level physicist, mathematician, statistician, engineer, computer scientist, bioinformatician or similar, seeking PhD training to made a difference in medicine and biology?" If so, we want you!.
  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.
  Innovating an anti-tilt human eye topographer
  Dr A Abass, Prof A Elsheikh
Application Deadline: 20 June 2020

Funding Type

PhD Type

The project aims to design a human eye topographer that able to scan the eye topography without tilting.
  Non-invasive Mapping of Oxygen Extraction Fraction in Patients with Breast Cancer: Development of Novel Multi-Parametric Relaxometry Magnetic Resonance Imaging (MRI) Methods
  Dr J He, Dr Y Masannat, Prof D Lurie
Applications accepted all year round

Funding Type

PhD Type

This project aims to translate, optimise and extend quantitative oxygen extraction fraction mapping based on oxygen enriched air inspiration and magnetic resonance (MR) relaxometric imaging for human application.
  Optimizing muscle mechanics for smart prosthetic (SL3UF2019)
  Dr S Li
Applications accepted all year round

Funding Type

PhD Type

Restoration of human functional activity has been a drive for many centuries dating back to early Egyptian and Greek civilizations.
  Machine Learning and Cognitive Modelling Applied to Video Games
  Dr K Chen
Applications accepted all year round

Funding Type

PhD Type

Video games have been viewed as an ideal test bed for the study of AI. However, most of the academic work in this area focused on traditional board and card games where limited AI techniques have been tested.
  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.
  Neuronal Dynamics from a complex network perspective
  Prof A Politi, Dr E Ullner
Applications accepted all year round

Funding Type

PhD Type

The human brain is possibly the most intriguing complex system we know. The combination of experimental work and theoretical approaches has gained many insides in the last century but we are still far away from a real understanding.
  Finite element modelling of heart valve deformation and mitral regurgitation after mitraclip implantation - Ref: LG2UF2018
  Dr L Zhao
Application Deadline: 3 May 2020

Funding Type

PhD Type

he mitral valve (MV) is a complex structure regulating forward flow of blood between the left atrium (LA) and left ventricle (LV) of human heart.
  Performance aspects in the development of the smart prosthetic lower limb (SL2UF2019)
  Dr S Li
Applications accepted all year round

Funding Type

PhD Type

Restoration of human functional activity has been a drive for many centuries dating back to early Egyptian and Greek civilizations.
  Automatic Music Generation via Deep Learning
  Dr K Chen
Applications accepted all year round

Funding Type

PhD Type

Music appears as an art form and cultural activity whose medium is sound organized in time, which is an ultimate language for human beings.
  Ensemble Strategies for Semi-Supervised, Unsupervised and Transfer Learning
  Dr K Chen
Applications accepted all year round

Funding Type

PhD Type

Traditionally there are two main paradigms in machine learning, supervised vs. unsupervised learning.
  Multi-task Learning and Applications
  Dr K Chen
Applications accepted all year round

Funding Type

PhD Type

In traditional machine learning, a learning system can be trained to deal with a specific single task, while human is able to complete multiple tasks with the same learning strategy.
  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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